{
  "schema": "three-versions-proximity/v1",
  "revision": "proximity-r1",
  "frozenAt": "2026-09-17",
  "summary": {
    "score": 51.20469541319768,
    "usDistance": 0.22326312728046727,
    "euDistance": 0.21275768190283006,
    "closerTo": "EU member-median profile",
    "indicators": 29,
    "domains": 8,
    "countries": 29,
    "years": [
      2021,
      2023,
      2024,
      2025
    ],
    "euMembersCloserThanUs": 4,
    "nearestCountries": [
      {
        "country": "AUT",
        "name": "Austria",
        "distance": 0.1846019727209235
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      {
        "country": "BEL",
        "name": "Belgium",
        "distance": 0.19369147764444178
      },
      {
        "country": "NLD",
        "name": "Netherlands",
        "distance": 0.20906209256072592
      },
      {
        "country": "DEU",
        "name": "Germany",
        "distance": 0.2132089641450059
      },
      {
        "country": "USA",
        "name": "United States",
        "distance": 0.22326312728046727
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    ],
    "methodEnvelope": {
      "minimum": 48.885887913571906,
      "maximum": 54.89191544507688,
      "count": 24
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    "weightEnvelope": {
      "minimum": 44.8966641414683,
      "maximum": 56.57838031771397,
      "count": 512
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    "domainOmissionEnvelope": {
      "minimum": 48.69336544369662,
      "maximum": 56.40098135775131,
      "count": 8
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    "indicatorOmissionEnvelope": {
      "minimum": 44.70496608445782,
      "maximum": 58.72577297149901,
      "count": 29
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  },
  "data": {
    "revision": "proximity-r1",
    "countries": [
      {
        "code": "CAN",
        "name": "Canada",
        "population": 41262329
      },
      {
        "code": "USA",
        "name": "United States",
        "population": 340003797
      },
      {
        "code": "AUT",
        "name": "Austria",
        "population": 9177982
      },
      {
        "code": "BEL",
        "name": "Belgium",
        "population": 11858610
      },
      {
        "code": "BGR",
        "name": "Bulgaria",
        "population": 6441421
      },
      {
        "code": "HRV",
        "name": "Croatia",
        "population": 3866200
      },
      {
        "code": "CYP",
        "name": "Cyprus",
        "population": 1358282
      },
      {
        "code": "CZE",
        "name": "Czechia",
        "population": 10905028
      },
      {
        "code": "DNK",
        "name": "Denmark",
        "population": 5976992
      },
      {
        "code": "EST",
        "name": "Estonia",
        "population": 1372341
      },
      {
        "code": "FIN",
        "name": "Finland",
        "population": 5619911
      },
      {
        "code": "FRA",
        "name": "France",
        "population": 68551653
      },
      {
        "code": "DEU",
        "name": "Germany",
        "population": 83516593
      },
      {
        "code": "GRC",
        "name": "Greece",
        "population": 10405134
      },
      {
        "code": "HUN",
        "name": "Hungary",
        "population": 9562065
      },
      {
        "code": "IRL",
        "name": "Ireland",
        "population": 5395790
      },
      {
        "code": "ITA",
        "name": "Italy",
        "population": 58952704
      },
      {
        "code": "LVA",
        "name": "Latvia",
        "population": 1866124
      },
      {
        "code": "LTU",
        "name": "Lithuania",
        "population": 2888278
      },
      {
        "code": "LUX",
        "name": "Luxembourg",
        "population": 677012
      },
      {
        "code": "MLT",
        "name": "Malta",
        "population": 568847
      },
      {
        "code": "NLD",
        "name": "Netherlands",
        "population": 17993485
      },
      {
        "code": "POL",
        "name": "Poland",
        "population": 36559233
      },
      {
        "code": "PRT",
        "name": "Portugal",
        "population": 10694681
      },
      {
        "code": "ROU",
        "name": "Romania",
        "population": 19051804
      },
      {
        "code": "SVK",
        "name": "Slovak Republic",
        "population": 5422069
      },
      {
        "code": "SVN",
        "name": "Slovenia",
        "population": 2127400
      },
      {
        "code": "ESP",
        "name": "Spain",
        "population": 48848840
      },
      {
        "code": "SWE",
        "name": "Sweden",
        "population": 10569709
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    ],
    "indicators": [
      {
        "id": "output",
        "label": "Output per person",
        "domain": "capacity",
        "year": 2024,
        "unit": "constant 2021 international dollars",
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          "EST": 41185.8348356109,
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        "sourceUrl": "https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.KD",
        "note": "Average production, not median disposable income; extreme multinational-economy values affect range normalization."
      },
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        "id": "investment",
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          "CZE": 26.5024711602825,
          "DNK": 23.3320384051141,
          "EST": 23.8965498272625,
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          "DEU": 20.4603173503166,
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          "HUN": 23.2061119734289,
          "IRL": 17.3480143254281,
          "ITA": 21.5129467738695,
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          "LTU": 22.4117705922418,
          "LUX": 15.375144986765,
          "MLT": 18.5108507263352,
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          "SWE": 25.1020245960477
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        "sourceId": "macro-investment",
        "sourceUrl": "https://data.worldbank.org/indicator/NE.GDI.FTOT.ZS",
        "note": "Resources committed to fixed assets, not their returns."
      },
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        "id": "research",
        "label": "Research and development",
        "domain": "capacity",
        "year": 2023,
        "unit": "% of GDP",
        "values": {
          "CAN": 1.81048,
          "USA": 3.44716,
          "AUT": 3.25517,
          "BEL": 3.27235,
          "BGR": 0.79224,
          "HRV": 1.38621,
          "CYP": 0.68145,
          "CZE": 1.83369,
          "DNK": 3.04841,
          "EST": 1.83878,
          "FIN": 3.0938,
          "FRA": 2.17832,
          "DEU": 3.1539,
          "GRC": 1.4943,
          "HUN": 1.37748,
          "IRL": 1.58829,
          "ITA": 1.37935,
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          "LTU": 1.04977,
          "LUX": 1.07045,
          "MLT": 0.64792,
          "NLD": 2.26719,
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        "sourceId": "macro-rd",
        "sourceUrl": "https://data.worldbank.org/indicator/GB.XPD.RSDV.GD.ZS",
        "note": "Expenditure input, not innovation output."
      },
      {
        "id": "internet",
        "label": "Internet use",
        "domain": "capacity",
        "year": 2024,
        "unit": "% of population",
        "values": {
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          "USA": 94.69380188,
          "AUT": 94.91974877,
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          "BGR": 82.438955,
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          "CZE": 87.68776014,
          "DNK": 99.76915157,
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          "FIN": 93.72405196,
          "FRA": 88.65381638,
          "DEU": 93.49999579,
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          "HUN": 93.77898628,
          "IRL": 97.18769836,
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          "LVA": 92.70757011,
          "LTU": 89.16116293,
          "LUX": 98.7606147,
          "MLT": 93.86029816,
          "NLD": 97.00679779,
          "POL": 88.58496367,
          "PRT": 88.48704454,
          "ROU": 91.29048551,
          "SVK": 89.82507032,
          "SVN": 90.76355487,
          "ESP": 95.7574516,
          "SWE": 95.52930428
        },
        "sourceId": "wdi-extension-internet",
        "sourceUrl": "https://data.worldbank.org/indicator/IT.NET.USER.ZS",
        "note": "ITU/WDI digital access/use, not enterprise AI adoption or digital skill."
      },
      {
        "id": "industry-jobs",
        "label": "Industry employment",
        "domain": "structure",
        "year": 2024,
        "unit": "% of total employment",
        "values": {
          "CAN": 18.9328243442541,
          "USA": 19.0437070998445,
          "AUT": 24.831244563959,
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          "DNK": 19.0027329538531,
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          "HUN": 30.8115080349249,
          "IRL": 18.4511743291667,
          "ITA": 26.6836054797934,
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          "LUX": 7.82174048373217,
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          "NLD": 14.0210093089947,
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          "PRT": 24.7631634041662,
          "ROU": 32.653380600289,
          "SVK": 34.9500644366084,
          "SVN": 32.055500354017,
          "ESP": 20.0916194737731,
          "SWE": 17.0202664217234
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        "sourceId": "wdi-extension-industry_employment",
        "sourceUrl": "https://data.worldbank.org/indicator/SL.IND.EMPL.ZS",
        "note": "ILO modeled estimate. Industry includes more than manufacturing; it is not the GDP production share."
      },
      {
        "id": "services-output",
        "label": "Services value added",
        "domain": "structure",
        "year": 2021,
        "unit": "% of GDP",
        "values": {
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          "USA": 76.2563816410471,
          "AUT": 62.30330605534,
          "BEL": 70.7487167204956,
          "BGR": 62.428388629992,
          "HRV": 59.0490718680904,
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          "CZE": 60.8665523629247,
          "DNK": 66.6398766336931,
          "EST": 62.7166747108643,
          "FIN": 60.1590262256597,
          "FRA": 70.6735726050728,
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          "IRL": 55.1666541370771,
          "ITA": 64.8364560164046,
          "LVA": 61.6249417393174,
          "LTU": 60.8408068662956,
          "LUX": 79.9504402405608,
          "MLT": 79.6729350126186,
          "NLD": 69.4429925410801,
          "POL": 56.4521825514612,
          "PRT": 65.0687062575411,
          "ROU": 59.5240162986079,
          "SVK": 60.1256272734401,
          "SVN": 57.8590988226047,
          "ESP": 67.4549201359154,
          "SWE": 64.8989803904197
        },
        "sourceId": "wdi-extension-services_value_added",
        "sourceUrl": "https://data.worldbank.org/indicator/NV.SRV.TOTL.ZS",
        "note": "Use the latest year shared by all 29 countries. Do not replace missing current North American data with a different year."
      },
      {
        "id": "openness",
        "label": "Trade openness",
        "domain": "structure",
        "year": 2024,
        "unit": "exports plus imports / % of GDP",
        "values": {
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          "USA": 25.0160172978284,
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          "DNK": 131.765030975207,
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          "FIN": 83.4510295550974,
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          "DEU": 79.0907305894936,
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          "HUN": 147.926666538068,
          "IRL": 246.169874857401,
          "ITA": 62.5926144915658,
          "LVA": 131.309582395769,
          "LTU": 142.41991022479,
          "LUX": 351.267921153192,
          "MLT": 217.730272683658,
          "NLD": 153.956290574682,
          "POL": 100.359442847164,
          "PRT": 89.6615637070518,
          "ROU": 77.2149837939003,
          "SVK": 171.212800151635,
          "SVN": 155.657928684474,
          "ESP": 69.9502612382631,
          "SWE": 105.967492313344
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        "sourceId": "macro-trade_gdp",
        "sourceUrl": "https://data.worldbank.org/indicator/NE.TRD.GNFS.ZS",
        "note": "Country-level goods and services, including EU members trading with each other. Not the extra-EU export denominator in the chord; can exceed 100%."
      },
      {
        "id": "public-spending",
        "label": "General-government expenditure",
        "domain": "state",
        "year": 2024,
        "unit": "% of GDP",
        "values": {
          "CAN": 44.3422353373,
          "USA": 37.737588113875,
          "AUT": 55.186176537557,
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          "HRV": 48.003071047968,
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          "DNK": 47.329441131472,
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          "GRC": 48.248682076237,
          "HUN": 46.90836325979,
          "IRL": 22.387978549878,
          "ITA": 50.399108822719,
          "LVA": 43.961598277669,
          "LTU": 39.413820558812,
          "LUX": 46.841911666587,
          "MLT": 37.367040243423,
          "NLD": 44.412847150764,
          "POL": 49.441734465708,
          "PRT": 42.505525661673,
          "ROU": 39.951273299206,
          "SVK": 47.467618992762,
          "SVN": 46.477053605862,
          "ESP": 45.473709959669,
          "SWE": 49.302554027505
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        "sourceId": "macro-government_expenditure",
        "sourceUrl": "https://www.imf.org/external/datamapper/G_X_G01_GDP_PT@FM/CAN/USA",
        "note": "IMF national-government expenditure, including transfers. Historical data may include staff estimates; this is not the EU institutions budget."
      },
      {
        "id": "public-debt",
        "label": "General-government gross debt",
        "domain": "state",
        "year": 2024,
        "unit": "% of GDP",
        "values": {
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          "USA": 122.26966571779,
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          "DEU": 62.226811458615,
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          "HUN": 73.513465039341,
          "IRL": 38.269775441814,
          "ITA": 134.7353874673,
          "LVA": 46.249515302974,
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        "sourceId": "macro-public_debt",
        "sourceUrl": "https://www.imf.org/external/datamapper/G_XWDG_G01_GDP_PT@FM/CAN/USA",
        "note": "Gross debt, not net worth or fiscal sustainability. Country accounting coverage can differ."
      },
      {
        "id": "defence",
        "label": "Military expenditure",
        "domain": "state",
        "year": 2024,
        "unit": "% of GDP",
        "values": {
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          "DEU": 1.89190377205494,
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          "LUX": 0.962679157025622,
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        "sourceId": "macro-military",
        "sourceUrl": "https://data.worldbank.org/indicator/MS.MIL.XPND.GD.ZS",
        "note": "Frozen WDI/SIPRI source series. The separately displayed SIPRI 2025 vintage does not silently overwrite this baseline. Expenditure is not capability."
      },
      {
        "id": "longevity",
        "label": "Life expectancy",
        "domain": "health",
        "year": 2024,
        "unit": "years at birth",
        "values": {
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          "USA": 78.890243902439,
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          "DNK": 82.2536585365854,
          "EST": 79.2951219512195,
          "FIN": 82.3365853658537,
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          "DEU": 80.7926829268293,
          "GRC": 81.8390243902439,
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          "LUX": 83.1951219512195,
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        "sourceId": "health-life_expectancy",
        "sourceUrl": "https://data.worldbank.org/indicator/SP.DYN.LE00.IN",
        "note": "Period life expectancy; not the realized lifespan of a newborn or a causal health-system efficiency measure."
      },
      {
        "id": "child-mortality",
        "label": "Under-five mortality",
        "domain": "health",
        "year": 2024,
        "unit": "per 1,000 live births",
        "values": {
          "CAN": 5.4,
          "USA": 6.5,
          "AUT": 3.3,
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          "BGR": 5.7,
          "HRV": 5.6,
          "CYP": 5,
          "CZE": 2.6,
          "DNK": 4,
          "EST": 2,
          "FIN": 2.4,
          "FRA": 4.3,
          "DEU": 3.7,
          "GRC": 3.8,
          "HUN": 3.7,
          "IRL": 3.9,
          "ITA": 2.7,
          "LVA": 2.5,
          "LTU": 3.4,
          "LUX": 2.2,
          "MLT": 5.3,
          "NLD": 3.9,
          "POL": 4.2,
          "PRT": 3.2,
          "ROU": 7.3,
          "SVK": 6.3,
          "SVN": 2.3,
          "ESP": 3.2,
          "SWE": 2.4
        },
        "sourceId": "health-under5_mortality",
        "sourceUrl": "https://data.worldbank.org/indicator/SH.DYN.MORT",
        "note": "Official model-based mortality probability; not a cohort death count. Infant mortality is excluded to reduce duplication."
      },
      {
        "id": "health-spending",
        "label": "Health expenditure per person",
        "domain": "health",
        "year": 2023,
        "unit": "current international dollars",
        "values": {
          "CAN": 7355.35531519482,
          "USA": 13473.1932166645,
          "AUT": 7883.78122774931,
          "BEL": 7489.31179853622,
          "BGR": 2969.55151843467,
          "HRV": 3229.33564953197,
          "CYP": 4537.67999225208,
          "CZE": 4499.617488482,
          "DNK": 7097.511126735,
          "EST": 3506.88332669565,
          "FIN": 6433.37242991069,
          "FRA": 6719.07670921652,
          "DEU": 8306.1829027705,
          "GRC": 3453.89441532691,
          "HUN": 2875.2067856772,
          "IRL": 8269.12496451516,
          "ITA": 4865.97795528379,
          "LVA": 3033.87411302447,
          "LTU": 3818.700368081,
          "LUX": 8329.0974382745,
          "MLT": 5706.08612341606,
          "NLD": 7727.03679910335,
          "POL": 3331.75281821589,
          "PRT": 4678.84807603454,
          "ROU": 2614.09426055762,
          "SVK": 3230.2453507094,
          "SVN": 4948.56888946586,
          "ESP": 4934.94772587453,
          "SWE": 7512.07018462638
        },
        "sourceId": "health-health_spend_pc_ppp",
        "sourceUrl": "https://data.worldbank.org/indicator/SH.XPD.CHEX.PP.CD",
        "note": "PPP-adjusted current expenditure, not inflation-adjusted spending growth. Distinct from constant-price GDP per person."
      },
      {
        "id": "out-of-pocket",
        "label": "Out-of-pocket financing",
        "domain": "health",
        "year": 2023,
        "unit": "% of current health expenditure",
        "values": {
          "CAN": 15.20306873,
          "USA": 10.92723846,
          "AUT": 16.47774124,
          "BEL": 21.50983047,
          "BGR": 35.50430679,
          "HRV": 9.37740326,
          "CYP": 17.9429245,
          "CZE": 14.59681702,
          "DNK": 13.97692299,
          "EST": 22.09991646,
          "FIN": 14.09493542,
          "FRA": 9.26032639,
          "DEU": 11.05290699,
          "GRC": 34.30307007,
          "HUN": 23.05996895,
          "IRL": 11.29947281,
          "ITA": 23.64643097,
          "LVA": 35.05759811,
          "LTU": 31.02016449,
          "LUX": 8.77390862,
          "MLT": 30.92565918,
          "NLD": 12.03399372,
          "POL": 15.84634209,
          "PRT": 29.30668449,
          "ROU": 22.96146011,
          "SVK": 20.15309143,
          "SVN": 12.39192963,
          "ESP": 20.85539818,
          "SWE": 12.95748615
        },
        "sourceId": "health-out_of_pocket_health",
        "sourceUrl": "https://data.worldbank.org/indicator/SH.XPD.OOPC.CH.ZS",
        "note": "Financing mix, not the share of household income paid for care or a measure of unmet need."
      },
      {
        "id": "ageing",
        "label": "Population aged 65+",
        "domain": "demography",
        "year": 2024,
        "unit": "% of population",
        "values": {
          "CAN": 19.7995907648324,
          "USA": 17.9287302134033,
          "AUT": 20.6064031791903,
          "BEL": 20.5580809256443,
          "BGR": 22.0303362606903,
          "HRV": 23.1877713482095,
          "CYP": 14.616184268068,
          "CZE": 20.8453836809891,
          "DNK": 20.8660704666167,
          "EST": 21.2973321004949,
          "FIN": 23.8972369428395,
          "FRA": 22.1465618989138,
          "DEU": 23.1955871731941,
          "GRC": 23.939763430194,
          "HUN": 20.9931972318078,
          "IRL": 15.8920783803289,
          "ITA": 24.624776723376,
          "LVA": 21.7358403074143,
          "LTU": 20.1664889015269,
          "LUX": 15.4763638200631,
          "MLT": 20.2123026573043,
          "NLD": 20.4960775816586,
          "POL": 20.1434028173028,
          "PRT": 24.5306498594644,
          "ROU": 19.9809987731847,
          "SVK": 18.5373993543753,
          "SVN": 21.7723491779025,
          "ESP": 21.1454438932121,
          "SWE": 20.7467682423653
        },
        "sourceId": "macro-age65",
        "sourceUrl": "https://data.worldbank.org/indicator/SP.POP.65UP.TO.ZS",
        "note": "Age composition, not a dependency forecast."
      },
      {
        "id": "fertility",
        "label": "Total fertility rate",
        "domain": "demography",
        "year": 2024,
        "unit": "births per woman",
        "values": {
          "CAN": 1.25,
          "USA": 1.6265,
          "AUT": 1.31,
          "BEL": 1.44,
          "BGR": 1.72,
          "HRV": 1.46,
          "CYP": 1.38,
          "CZE": 1.36,
          "DNK": 1.47,
          "EST": 1.18,
          "FIN": 1.25,
          "FRA": 1.61,
          "DEU": 1.36,
          "GRC": 1.24,
          "HUN": 1.41,
          "IRL": 1.47,
          "ITA": 1.18,
          "LVA": 1.24,
          "LTU": 1.11,
          "LUX": 1.25,
          "MLT": 1.01,
          "NLD": 1.43,
          "POL": 1.14,
          "PRT": 1.41,
          "ROU": 1.39,
          "SVK": 1.46,
          "SVN": 1.52,
          "ESP": 1.1,
          "SWE": 1.43
        },
        "sourceId": "macro-fertility",
        "sourceUrl": "https://data.worldbank.org/indicator/SP.DYN.TFRT.IN",
        "note": "Period fertility rate, not completed cohort fertility."
      },
      {
        "id": "female-participation",
        "label": "Female labour participation",
        "domain": "demography",
        "year": 2024,
        "unit": "% of female population aged 15+",
        "values": {
          "CAN": 60.415,
          "USA": 56.561,
          "AUT": 55.408,
          "BEL": 49.97,
          "BGR": 50.487,
          "HRV": 47.541,
          "CYP": 61.408,
          "CZE": 53.656,
          "DNK": 60.902,
          "EST": 61.258,
          "FIN": 56.668,
          "FRA": 51.773,
          "DEU": 55.622,
          "GRC": 45.027,
          "HUN": 54.398,
          "IRL": 59.838,
          "ITA": 41.03,
          "LVA": 55.516,
          "LTU": 57.86,
          "LUX": 57.645,
          "MLT": 55.894,
          "NLD": 62.882,
          "POL": 51.913,
          "PRT": 54.888,
          "ROU": 41.904,
          "SVK": 55.464,
          "SVN": 52.644,
          "ESP": 53.195,
          "SWE": 61.68
        },
        "sourceId": "macro-female_participation",
        "sourceUrl": "https://data.worldbank.org/indicator/SL.TLF.CACT.FE.ZS",
        "note": "ILO modeled estimate, sensitive to population age composition; not a prime-age participation rate."
      },
      {
        "id": "unemployment",
        "label": "Unemployment rate",
        "domain": "demography",
        "year": 2024,
        "unit": "% of labour force",
        "values": {
          "CAN": 6.351,
          "USA": 4.022,
          "AUT": 5.2,
          "BEL": 5.7,
          "BGR": 4.2,
          "HRV": 5,
          "CYP": 4.9,
          "CZE": 2.6,
          "DNK": 5.358,
          "EST": 7.6,
          "FIN": 8.4,
          "FRA": 7.4,
          "DEU": 3.4,
          "GRC": 10.02,
          "HUN": 4.5,
          "IRL": 4.3,
          "ITA": 6.5,
          "LVA": 6.9,
          "LTU": 6.851,
          "LUX": 6.4,
          "MLT": 3.1,
          "NLD": 3.7,
          "POL": 2.807,
          "PRT": 6.5,
          "ROU": 5.4,
          "SVK": 5.3,
          "SVN": 3.7,
          "ESP": 11.4,
          "SWE": 8.4
        },
        "sourceId": "macro-unemployment",
        "sourceUrl": "https://data.worldbank.org/indicator/SL.UEM.TOTL.ZS",
        "note": "ILO modeled estimate; differs from the employment-to-population ratio."
      },
      {
        "id": "carbon",
        "label": "Territorial CO₂ per person",
        "domain": "climate",
        "year": 2024,
        "unit": "tonnes CO₂e per person",
        "values": {
          "CAN": 14.0072704088031,
          "USA": 13.6238622652793,
          "AUT": 6.32278424603578,
          "BEL": 7.30661519351762,
          "BGR": 5.30760215797104,
          "HRV": 4.83151414825927,
          "CYP": 5.40469504859816,
          "CZE": 7.12966532502255,
          "DNK": 4.2782054919933,
          "EST": 7.75936884491537,
          "FIN": 5.53521221243539,
          "FRA": 4.00355772602595,
          "DEU": 6.94395663386317,
          "GRC": 5.04642227577271,
          "HUN": 4.45791782423566,
          "IRL": 6.03605774131313,
          "ITA": 5.07573834102673,
          "LVA": 3.647774745944,
          "LTU": 4.49056496639174,
          "LUX": 10.5572722492364,
          "MLT": 3.17888641409729,
          "NLD": 6.60188395966651,
          "POL": 7.55108565871718,
          "PRT": 3.32476489948602,
          "ROU": 3.72055055783694,
          "SVK": 5.51311685631444,
          "SVN": 6.26652251574692,
          "ESP": 4.50540688376633,
          "SWE": 3.57381645984766
        },
        "sourceId": "macro-co2_pc",
        "sourceUrl": "https://data.worldbank.org/indicator/EN.GHG.CO2.PC.CE.AR5",
        "note": "Carbon dioxide only, excluding land-use change; not all greenhouse gases or a consumption footprint."
      },
      {
        "id": "renewables",
        "label": "Renewable final energy",
        "domain": "climate",
        "year": 2021,
        "unit": "% of total final energy consumption",
        "values": {
          "CAN": 23.8,
          "USA": 10.9,
          "AUT": 36,
          "BEL": 11.7,
          "BGR": 20.4,
          "HRV": 34.1,
          "CYP": 15.6,
          "CZE": 17.2,
          "DNK": 39.5,
          "EST": 38,
          "FIN": 50.2,
          "FRA": 16.2,
          "DEU": 17.6,
          "GRC": 21.5,
          "HUN": 15.3,
          "IRL": 12.7,
          "ITA": 17.5,
          "LVA": 44,
          "LTU": 33.2,
          "LUX": 20.5,
          "MLT": 8.6,
          "NLD": 12.2,
          "POL": 15.2,
          "PRT": 32.3,
          "ROU": 23.6,
          "SVK": 17.9,
          "SVN": 23.4,
          "ESP": 19,
          "SWE": 57.9
        },
        "sourceId": "macro-renewable_energy",
        "sourceUrl": "https://data.worldbank.org/indicator/EG.FEC.RNEW.ZS",
        "note": "Final energy, not electricity alone. Historical common-year evidence does not describe current installed capacity."
      },
      {
        "id": "pisa-science",
        "label": "PISA science",
        "domain": "learning",
        "year": 2025,
        "unit": "score points",
        "values": {
          "CAN": 510,
          "USA": 502,
          "AUT": 497,
          "BEL": 490,
          "BGR": 421,
          "HRV": 476,
          "CYP": 411,
          "CZE": 490,
          "DNK": 478,
          "EST": 527,
          "FIN": 504,
          "FRA": 483,
          "DEU": 486,
          "GRC": 434,
          "HUN": 480,
          "IRL": 500,
          "ITA": 483,
          "LVA": 468,
          "LTU": 488,
          "LUX": 474,
          "MLT": 453,
          "NLD": 485,
          "POL": 495,
          "PRT": 482,
          "ROU": 425,
          "SVK": 475,
          "SVN": 484,
          "ESP": 477,
          "SWE": 485
        },
        "sourceId": "pisa-science",
        "sourceUrl": "https://www.cmec.ca/Publications/Lists/Publications/Attachments/448/PISA_2025_Public_Report_EN.pdf",
        "note": "Published 2025 country mean, not an EU student average. Canada/US/Netherlands sampling cautions and standard errors remain relevant; the sensitivity without learning is mandatory."
      },
      {
        "id": "pisa-reading",
        "label": "PISA reading",
        "domain": "learning",
        "year": 2025,
        "unit": "score points",
        "values": {
          "CAN": 490,
          "USA": 490,
          "AUT": 467,
          "BEL": 466,
          "BGR": 387,
          "HRV": 453,
          "CYP": 379,
          "CZE": 468,
          "DNK": 460,
          "EST": 499,
          "FIN": 474,
          "FRA": 456,
          "DEU": 465,
          "GRC": 423,
          "HUN": 452,
          "IRL": 500,
          "ITA": 474,
          "LVA": 430,
          "LTU": 464,
          "LUX": 443,
          "MLT": 415,
          "NLD": 441,
          "POL": 482,
          "PRT": 462,
          "ROU": 413,
          "SVK": 448,
          "SVN": 445,
          "ESP": 451,
          "SWE": 466
        },
        "sourceId": "pisa-reading",
        "sourceUrl": "https://www.cmec.ca/Publications/Lists/Publications/Attachments/448/PISA_2025_Public_Report_EN.pdf",
        "note": "Published 2025 country mean, not an EU student average. Canada/US/Netherlands sampling cautions and standard errors remain relevant; the sensitivity without learning is mandatory."
      },
      {
        "id": "pisa-mathematics",
        "label": "PISA mathematics",
        "domain": "learning",
        "year": 2025,
        "unit": "score points",
        "values": {
          "CAN": 485,
          "USA": 463,
          "AUT": 477,
          "BEL": 480,
          "BGR": 405,
          "HRV": 455,
          "CYP": 412,
          "CZE": 477,
          "DNK": 471,
          "EST": 508,
          "FIN": 469,
          "FRA": 458,
          "DEU": 464,
          "GRC": 424,
          "HUN": 459,
          "IRL": 480,
          "ITA": 468,
          "LVA": 460,
          "LTU": 470,
          "LUX": 458,
          "MLT": 439,
          "NLD": 483,
          "POL": 484,
          "PRT": 460,
          "ROU": 419,
          "SVK": 469,
          "SVN": 460,
          "ESP": 457,
          "SWE": 464
        },
        "sourceId": "pisa-mathematics",
        "sourceUrl": "https://www.cmec.ca/Publications/Lists/Publications/Attachments/448/PISA_2025_Public_Report_EN.pdf",
        "note": "Published 2025 country mean, not an EU student average. Canada/US/Netherlands sampling cautions and standard errors remain relevant; the sensitivity without learning is mandatory."
      },
      {
        "id": "wgi-va",
        "label": "Voice and accountability",
        "domain": "institutions",
        "year": 2024,
        "unit": "WGI governance-estimate statistical units",
        "values": {
          "CAN": 1.5036042,
          "USA": 0.8869557,
          "AUT": 1.4054571,
          "BEL": 1.4972136,
          "BGR": 0.2133864,
          "HRV": 0.6486643,
          "CYP": 0.8873328,
          "CZE": 1.2546961,
          "DNK": 1.8949405,
          "EST": 1.4144994,
          "FIN": 1.8535581,
          "FRA": 1.1486677,
          "DEU": 1.5981515,
          "GRC": 0.7818531,
          "HUN": -0.027728,
          "IRL": 1.6376655,
          "ITA": 1.0673476,
          "LVA": 1.1279498,
          "LTU": 1.2226462,
          "LUX": 1.6653277,
          "MLT": 0.9216359,
          "NLD": 1.6536633,
          "POL": 0.7521675,
          "PRT": 1.2651386,
          "ROU": 0.3873603,
          "SVK": 0.9301839,
          "SVN": 1.0571494,
          "ESP": 1.1484423,
          "SWE": 1.7277944
        },
        "sourceId": "world-bank-wgi-2025-revision-source3-20260318",
        "sourceUrl": "https://www.worldbank.org/en/publication/worldwide-governance-indicators",
        "note": "Perception-based composite estimate with measurement uncertainty; one internally consistent WGI vintage. Six correlated measures share one domain weight, not six independent votes."
      },
      {
        "id": "wgi-pv",
        "label": "Political stability",
        "domain": "institutions",
        "year": 2024,
        "unit": "WGI governance-estimate statistical units",
        "values": {
          "CAN": 0.5984769,
          "USA": -0.0951125,
          "AUT": 0.4915979,
          "BEL": 0.1214526,
          "BGR": 0.0399268,
          "HRV": 0.5814089,
          "CYP": 0.3858613,
          "CZE": 0.9719006,
          "DNK": 0.7688761,
          "EST": 0.6995763,
          "FIN": 0.8325695,
          "FRA": -0.241365399999999,
          "DEU": 0.1242671,
          "GRC": 0.1394204,
          "HUN": 0.4363288,
          "IRL": 0.7099699,
          "ITA": 0.3087035,
          "LVA": 0.6201402,
          "LTU": 0.9394441,
          "LUX": 1.0730532,
          "MLT": 0.8049169,
          "NLD": 0.4281196,
          "POL": 0.498655,
          "PRT": 0.536927,
          "ROU": 0.1588848,
          "SVK": 0.6343713,
          "SVN": 0.7209146,
          "ESP": -0.002992,
          "SWE": 0.6035115
        },
        "sourceId": "world-bank-wgi-2025-revision-source3-20260318",
        "sourceUrl": "https://www.worldbank.org/en/publication/worldwide-governance-indicators",
        "note": "Perception-based composite estimate with measurement uncertainty; one internally consistent WGI vintage. Six correlated measures share one domain weight, not six independent votes."
      },
      {
        "id": "wgi-ge",
        "label": "Government effectiveness",
        "domain": "institutions",
        "year": 2024,
        "unit": "WGI governance-estimate statistical units",
        "values": {
          "CAN": 1.7591249,
          "USA": 1.3599787,
          "AUT": 1.5145106,
          "BEL": 1.1947395,
          "BGR": 0.0428203,
          "HRV": 0.7097625,
          "CYP": 0.8696373,
          "CZE": 1.1773279,
          "DNK": 1.9128986,
          "EST": 1.2969908,
          "FIN": 1.8171611,
          "FRA": 1.2007009,
          "DEU": 1.5462994,
          "GRC": 0.1912731,
          "HUN": 0.501908,
          "IRL": 1.6115533,
          "ITA": 0.7922891,
          "LVA": 0.7431802,
          "LTU": 1.2014922,
          "LUX": 2.0397137,
          "MLT": 0.622496,
          "NLD": 1.7519974,
          "POL": 0.6734027,
          "PRT": 0.9474847,
          "ROU": 0.4181246,
          "SVK": 0.6575804,
          "SVN": 1.0893351,
          "ESP": 1.110811,
          "SWE": 1.7746948
        },
        "sourceId": "world-bank-wgi-2025-revision-source3-20260318",
        "sourceUrl": "https://www.worldbank.org/en/publication/worldwide-governance-indicators",
        "note": "Perception-based composite estimate with measurement uncertainty; one internally consistent WGI vintage. Six correlated measures share one domain weight, not six independent votes."
      },
      {
        "id": "wgi-rq",
        "label": "Regulatory quality",
        "domain": "institutions",
        "year": 2024,
        "unit": "WGI governance-estimate statistical units",
        "values": {
          "CAN": 1.3622118,
          "USA": 1.3524886,
          "AUT": 1.3510615,
          "BEL": 1.2435483,
          "BGR": 0.2880342,
          "HRV": 0.2858764,
          "CYP": 0.7395817,
          "CZE": 1.2319075,
          "DNK": 1.9307059,
          "EST": 1.3977035,
          "FIN": 1.9635191,
          "FRA": 1.1461527,
          "DEU": 1.4980615,
          "GRC": 0.4796528,
          "HUN": 0.3350444,
          "IRL": 1.7944361,
          "ITA": 0.6401491,
          "LVA": 1.0998172,
          "LTU": 1.291591,
          "LUX": 1.8386524,
          "MLT": 0.4916338,
          "NLD": 1.7218271,
          "POL": 0.6858353,
          "PRT": 0.7401575,
          "ROU": 0.3834547,
          "SVK": 0.4047054,
          "SVN": 0.798163,
          "ESP": 0.6208379,
          "SWE": 1.6717941
        },
        "sourceId": "world-bank-wgi-2025-revision-source3-20260318",
        "sourceUrl": "https://www.worldbank.org/en/publication/worldwide-governance-indicators",
        "note": "Perception-based composite estimate with measurement uncertainty; one internally consistent WGI vintage. Six correlated measures share one domain weight, not six independent votes."
      },
      {
        "id": "wgi-rl",
        "label": "Rule of law",
        "domain": "institutions",
        "year": 2024,
        "unit": "WGI governance-estimate statistical units",
        "values": {
          "CAN": 1.4608299,
          "USA": 0.9617896,
          "AUT": 1.6777399,
          "BEL": 1.282799,
          "BGR": -0.0333423,
          "HRV": 0.3774835,
          "CYP": 0.6891912,
          "CZE": 1.1881307,
          "DNK": 2.0043149,
          "EST": 1.4864478,
          "FIN": 2.0212705,
          "FRA": 0.97866,
          "DEU": 1.6257844,
          "GRC": 0.2983017,
          "HUN": 0.1923364,
          "IRL": 1.5913219,
          "ITA": 0.6192043,
          "LVA": 1.0913835,
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    "boundary": "The same indicator subset is used in both comparisons; learning is unavailable in 2019 and excluded from both. Each period has its own 29-country range, so this is relative-profile movement rather than a fixed-scale level-change estimate."
  },
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        "population": "CSBC business establishments with employees",
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        "uncertainty": "Surveyed expectation, not realized adoption; a newer 2026 estimate was not verified.",
        "status": "planned",
        "scoreEligible": false,
        "exclusionReason": "Intentions, a different horizon and different survey population; never substituted for observed use."
      },
      {
        "sourceId": "us-btos-ai-2026",
        "country": "USA",
        "indicator": "business_ai_any_function_use",
        "value": 23.2,
        "unit": "%",
        "referencePeriod": "Period ending 6 September 2026; previous 2 weeks",
        "population": "BTOS in-scope nonfarm employer businesses; source exclusions apply",
        "definition": "AI use in any business function. This broader wording began with collection on 17 November 2025.",
        "uncertainty": "Survey estimate; the retrieved national JSON contains no confidence intervals or standard errors.",
        "status": "observed",
        "scoreEligible": false,
        "exclusionReason": "Different population, two-week window and broader question, with a questionnaire break in November 2025."
      },
      {
        "sourceId": "us-btos-ai-2026",
        "country": "USA",
        "indicator": "business_ai_expected",
        "value": 27.3,
        "unit": "%",
        "referencePeriod": "Period ending 6 September 2026; next 6 months",
        "population": "BTOS in-scope nonfarm employer businesses",
        "definition": "Expected AI use in any business function during the next 6 months.",
        "uncertainty": "Surveyed expectation, not realized adoption; no confidence interval in the national JSON.",
        "status": "planned",
        "scoreEligible": false,
        "exclusionReason": "Future expectation and a different reference horizon; cannot replace measured current use."
      }
    ],
    "current": [
      {
        "sourceId": "eu-ai-2025",
        "country": "EUU",
        "indicator": "enterprise_ai_use",
        "value": 19.95,
        "unit": "%",
        "referencePeriod": "2025 survey",
        "population": "Enterprises with 10+ employees and self-employed persons; covered NACE C-J, L-N and group 95.1",
        "definition": "Using at least one of the specified Eurostat AI technologies; current situation in the survey period.",
        "uncertainty": "Sample survey; no observation-specific confidence interval in the retrieved endpoint.",
        "status": "observed",
        "scoreEligible": false,
        "exclusionReason": "Statistical unit, size threshold, sectors, question and reference period are not harmonized with the Canadian and US surveys."
      },
      {
        "sourceId": "ca-ai-2026",
        "country": "CAN",
        "indicator": "business_ai_production_services_use",
        "value": 19.2,
        "unit": "%",
        "referencePeriod": "Q2 2026; previous 12 months; fieldwork 1 April-6 May 2026",
        "population": "Canadian Survey on Business Conditions: business establishments with employees",
        "definition": "Reported AI use to produce goods or deliver services during the previous 12 months.",
        "uncertainty": "Calibrated estimate; 9,251 responding businesses/organizations from a sample of 21,105 establishments. No confidence interval extracted.",
        "status": "observed",
        "scoreEligible": false,
        "exclusionReason": "Different business unit, sectors, AI-use concept and reference window from Eurostat and the current BTOS."
      },
      {
        "sourceId": "us-btos-ai-2026",
        "country": "USA",
        "indicator": "business_ai_any_function_use",
        "value": 23.2,
        "unit": "%",
        "referencePeriod": "Period ending 6 September 2026; previous 2 weeks",
        "population": "BTOS in-scope nonfarm employer businesses; source exclusions apply",
        "definition": "AI use in any business function. This broader wording began with collection on 17 November 2025.",
        "uncertainty": "Survey estimate; the retrieved national JSON contains no confidence intervals or standard errors.",
        "status": "observed",
        "scoreEligible": false,
        "exclusionReason": "Different population, two-week window and broader question, with a questionnaire break in November 2025."
      }
    ],
    "usTrajectory": [
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 17.3,
        "Date": "2025-11-30"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 17.2,
        "Date": "2025-12-14"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 17.8,
        "Date": "2025-12-28"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 17.7,
        "Date": "2026-01-11"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 18.2,
        "Date": "2026-01-25"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 18.9,
        "Date": "2026-02-08"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 17.5,
        "Date": "2026-02-22"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 18.2,
        "Date": "2026-03-08"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 18.9,
        "Date": "2026-03-22"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 19.1,
        "Date": "2026-04-05"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 19.8,
        "Date": "2026-04-19"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 19.8,
        "Date": "2026-05-03"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 19.5,
        "Date": "2026-05-17"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 20.6,
        "Date": "2026-05-31"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 20.6,
        "Date": "2026-06-14"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 20.6,
        "Date": "2026-06-28"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 21.7,
        "Date": "2026-07-12"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 21.5,
        "Date": "2026-07-26"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 21.8,
        "Date": "2026-08-09"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 22.4,
        "Date": "2026-08-23"
      },
      {
        "xmltag": "Current AI Use (Last Two Weeks)",
        "Estimate": 23.2,
        "Date": "2026-09-06"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 21.1,
        "Date": "2025-11-30"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 20.9,
        "Date": "2025-12-14"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 21.3,
        "Date": "2025-12-28"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 22.4,
        "Date": "2026-01-11"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 22.1,
        "Date": "2026-01-25"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 22.1,
        "Date": "2026-02-08"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 21,
        "Date": "2026-02-22"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 21.8,
        "Date": "2026-03-08"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 22.3,
        "Date": "2026-03-22"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 22.5,
        "Date": "2026-04-05"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 23,
        "Date": "2026-04-19"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 22.8,
        "Date": "2026-05-03"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 22.7,
        "Date": "2026-05-17"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 23.7,
        "Date": "2026-05-31"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 23.9,
        "Date": "2026-06-14"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 23.7,
        "Date": "2026-06-28"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 24.5,
        "Date": "2026-07-12"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 24.3,
        "Date": "2026-07-26"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 25.9,
        "Date": "2026-08-09"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 25.9,
        "Date": "2026-08-23"
      },
      {
        "xmltag": "Expected AI Use (Next Six Months)",
        "Estimate": 27.3,
        "Date": "2026-09-06"
      }
    ],
    "sources": [
      {
        "id": "eu-ai-2025",
        "title": "Enterprises using AI technologies, 2025",
        "publisher": "Eurostat",
        "url": "https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/isoc_eb_ai?lang=EN&time=2025&size_emp=GE10&indic_is=E_AI_TANY&unit=PC_ENT",
        "terms": "Eurostat statistical-data reuse with attribution and stated exceptions.",
        "retrievedAt": "2026-09-17T18:17:09.751Z",
        "sha256": "9cd5f49d748f036df0c3727135ac57db861f4bf97a7101478e5b62e111980355"
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        "id": "ca-ai-2026",
        "title": "Analysis on artificial intelligence use by businesses, Q2 2026",
        "publisher": "Statistics Canada",
        "url": "https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2026010-eng.htm",
        "terms": "Statistics Canada Open Licence; adaptation does not imply endorsement.",
        "retrievedAt": "2026-09-17T18:17:10.345Z",
        "sha256": "ed9ca7c9839e4909e69c41f4feaea79f87abd26e0846c9845e045871e89ac7f2"
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        "id": "ca-ai-2025",
        "title": "Analysis on artificial intelligence use by businesses, Q2 2025",
        "publisher": "Statistics Canada",
        "url": "https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025008-eng.htm",
        "terms": "Statistics Canada Open Licence; adaptation does not imply endorsement.",
        "retrievedAt": "2026-09-17T18:17:10.712Z",
        "sha256": "b27b580c387e981344852ffec3ed0be8b96ca73f75abf51ee1b20077e6c14eac"
      },
      {
        "id": "ca-planned-ai-2025",
        "title": "Expected use of artificial intelligence by businesses, Q3 2025",
        "publisher": "Statistics Canada",
        "url": "https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025011-eng.htm",
        "terms": "Statistics Canada Open Licence; adaptation does not imply endorsement.",
        "retrievedAt": "2026-09-17T18:17:11.051Z",
        "sha256": "5fd165b09759469c73fd3e178e0a6a1380fb45328aa437be9158d0c5a6590fa6"
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      {
        "id": "us-btos-ai-2026",
        "title": "BTOS national AI use and expectations series",
        "publisher": "US Census Bureau",
        "url": "https://www.census.gov/hfp/btos/ai_national.json",
        "terms": "US federal statistical product, attributed numerical extract; no use of third-party logos or assets.",
        "retrievedAt": "2026-09-17T18:17:11.412Z",
        "sha256": "57d3e6d7b4e413c826dd36171123ae8fdefde9bbcbb59ab0666c22fcaaf92f92"
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      {
        "id": "us-btos-methods-2026",
        "title": "BTOS official application methodology text",
        "publisher": "US Census Bureau",
        "url": "https://www.census.gov/hfp/btos/js/app.4e808077.js",
        "terms": "Retained privately as source evidence, not executed or republished as code.",
        "retrievedAt": "2026-09-17T18:17:11.567Z",
        "sha256": "4eddfa6b1d464278336016d0a0121c683118313374fd345fb0faddeada4d3c14"
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    "questionnaireBreak": {
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      "from": "AI use in producing goods or services",
      "to": "AI use in any business function"
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      "id": "wdi-extension-internet",
      "label": "Internet use",
      "url": "https://data.worldbank.org/indicator/IT.NET.USER.ZS"
    },
    {
      "id": "wdi-extension-industry_employment",
      "label": "Industry employment",
      "url": "https://data.worldbank.org/indicator/SL.IND.EMPL.ZS"
    },
    {
      "id": "wdi-extension-services_value_added",
      "label": "Services value added",
      "url": "https://data.worldbank.org/indicator/NV.SRV.TOTL.ZS"
    },
    {
      "id": "macro-trade_gdp",
      "label": "Trade openness",
      "url": "https://data.worldbank.org/indicator/NE.TRD.GNFS.ZS"
    },
    {
      "id": "macro-government_expenditure",
      "label": "General-government expenditure",
      "url": "https://www.imf.org/external/datamapper/G_X_G01_GDP_PT@FM/CAN/USA"
    },
    {
      "id": "macro-public_debt",
      "label": "General-government gross debt",
      "url": "https://www.imf.org/external/datamapper/G_XWDG_G01_GDP_PT@FM/CAN/USA"
    },
    {
      "id": "macro-military",
      "label": "Military expenditure",
      "url": "https://data.worldbank.org/indicator/MS.MIL.XPND.GD.ZS"
    },
    {
      "id": "health-life_expectancy",
      "label": "Life expectancy",
      "url": "https://data.worldbank.org/indicator/SP.DYN.LE00.IN"
    },
    {
      "id": "health-under5_mortality",
      "label": "Under-five mortality",
      "url": "https://data.worldbank.org/indicator/SH.DYN.MORT"
    },
    {
      "id": "health-health_spend_pc_ppp",
      "label": "Health expenditure per person",
      "url": "https://data.worldbank.org/indicator/SH.XPD.CHEX.PP.CD"
    },
    {
      "id": "health-out_of_pocket_health",
      "label": "Out-of-pocket financing",
      "url": "https://data.worldbank.org/indicator/SH.XPD.OOPC.CH.ZS"
    },
    {
      "id": "macro-age65",
      "label": "Population aged 65+",
      "url": "https://data.worldbank.org/indicator/SP.POP.65UP.TO.ZS"
    },
    {
      "id": "macro-fertility",
      "label": "Total fertility rate",
      "url": "https://data.worldbank.org/indicator/SP.DYN.TFRT.IN"
    },
    {
      "id": "macro-female_participation",
      "label": "Female labour participation",
      "url": "https://data.worldbank.org/indicator/SL.TLF.CACT.FE.ZS"
    },
    {
      "id": "macro-unemployment",
      "label": "Unemployment rate",
      "url": "https://data.worldbank.org/indicator/SL.UEM.TOTL.ZS"
    },
    {
      "id": "macro-co2_pc",
      "label": "Territorial CO₂ per person",
      "url": "https://data.worldbank.org/indicator/EN.GHG.CO2.PC.CE.AR5"
    },
    {
      "id": "macro-renewable_energy",
      "label": "Renewable final energy",
      "url": "https://data.worldbank.org/indicator/EG.FEC.RNEW.ZS"
    },
    {
      "id": "pisa-mathematics",
      "label": "PISA mathematics",
      "url": "https://www.cmec.ca/Publications/Lists/Publications/Attachments/448/PISA_2025_Public_Report_EN.pdf"
    },
    {
      "id": "world-bank-wgi-2025-revision-source3-20260318",
      "label": "Control of corruption",
      "url": "https://www.worldbank.org/en/publication/worldwide-governance-indicators"
    },
    {
      "id": "sipri-2025",
      "label": "SIPRI Military Expenditure Database 1949-2025 v1.2",
      "url": "https://www.sipri.org/databases/milex"
    },
    {
      "id": "gower",
      "label": "Gower (1971), A General Coefficient of Similarity and Some of Its Properties",
      "url": "https://doi.org/10.2307/2528823"
    },
    {
      "id": "oecd-jrc",
      "label": "OECD/JRC Handbook on Constructing Composite Indicators",
      "url": "https://publications.jrc.ec.europa.eu/repository/handle/JRC47008"
    },
    {
      "id": "eu-ai-2025",
      "label": "Enterprises using AI technologies, 2025",
      "url": "https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/isoc_eb_ai?lang=EN&time=2025&size_emp=GE10&indic_is=E_AI_TANY&unit=PC_ENT"
    },
    {
      "id": "ca-ai-2026",
      "label": "Analysis on artificial intelligence use by businesses, Q2 2026",
      "url": "https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2026010-eng.htm"
    },
    {
      "id": "ca-ai-2025",
      "label": "Analysis on artificial intelligence use by businesses, Q2 2025",
      "url": "https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025008-eng.htm"
    },
    {
      "id": "ca-planned-ai-2025",
      "label": "Expected use of artificial intelligence by businesses, Q3 2025",
      "url": "https://www150.statcan.gc.ca/n1/pub/11-621-m/11-621-m2025011-eng.htm"
    },
    {
      "id": "us-btos-ai-2026",
      "label": "BTOS national AI use and expectations series",
      "url": "https://www.census.gov/hfp/btos/ai_national.json"
    },
    {
      "id": "us-btos-methods-2026",
      "label": "BTOS official application methodology text",
      "url": "https://www.census.gov/hfp/btos/js/app.4e808077.js"
    },
    {
      "id": "polity",
      "label": "Polity project / Center for Systemic Peace",
      "url": "https://www.systemicpeace.org/polityproject.html"
    }
  ],
  "sourceProvenance": "source-provenance.json",
  "method": {
    "schema": "three-versions-proximity-contract/v1",
    "revision": "research-r1",
    "declaredBeforeEstimation": true,
    "question": "Across explicitly chosen institutional, economic and social dimensions, does Canada's measured country profile sit closer to the United States or to the current EU27 member-country profile?",
    "notTheQuestion": [
      "Which society is best?",
      "Which political identity should Canada adopt?",
      "What causes the differences?",
      "What is the probability that Canada belongs to Europe?"
    ],
    "referenceUniverse": {
      "countries": [
        "CAN",
        "USA",
        "AUT",
        "BEL",
        "BGR",
        "HRV",
        "CYP",
        "CZE",
        "DNK",
        "EST",
        "FIN",
        "FRA",
        "DEU",
        "GRC",
        "HUN",
        "IRL",
        "ITA",
        "LVA",
        "LTU",
        "LUX",
        "MLT",
        "NLD",
        "POL",
        "PRT",
        "ROU",
        "SVK",
        "SVN",
        "ESP",
        "SWE"
      ],
      "EU": "Fixed current EU27 membership. The comparison profile is a constructed summary of member countries, not an official EU aggregate or a federal government.",
      "defaultEUProfile": "Coordinate-wise median of member-country normalized indicators; equal country representation.",
      "additionalEUViews": [
        "Arithmetic member mean",
        "Population-weighted member mean",
        "All 27 individual member distances"
      ]
    },
    "dataGate": {
      "primaryWindow": "For each ordinary indicator choose the latest single year in 2020-2024 with finite observations for all 29 countries; no country-specific latest-year mixing.",
      "surveyException": "Existing independently verified PISA 2025 country means form one separately labeled learning domain.",
      "institutionException": "Use a single internally consistent institutional source vintage. A clearly labeled later institution snapshot is a sensitivity/explanatory view, not silently mixed into the baseline.",
      "missing": "No mean imputation, no zero for missing values, and no omission of an inconvenient country. Indicators failing coverage are excluded with a recorded reason.",
      "incompatible": "AI adoption surveys with different business universes, question wording or periods remain outside the proximity score.",
      "size": "Exclude total GDP, population and absolute military totals from similarity scoring so geographic scale cannot dominate; they remain context.",
      "redundancy": "Prefer one indicator for an accounting identity or near-duplicate concept. Group closely related indicators into one domain so a provider's many series cannot create many independent votes."
    },
    "baseline": {
      "method": "Equal-domain numeric Gower distance",
      "normalization": "For each indicator, (value - minimum)/(maximum - minimum), using the fixed 29-country observation window. A constant indicator is uninformative and is excluded.",
      "distance": "Within each domain, average absolute normalized differences; average those domain distances with equal domain weights.",
      "orientation": "No good/bad polarity is needed: similarity is symmetric and does not reward a higher value.",
      "proximityIndex": "100 * distance(Canada, USA) / [distance(Canada, USA) + distance(Canada, EU profile)]",
      "interpretation": "0 is identical to the US benchmark and 100 identical to the constructed EU profile; 50 denotes equal distance. This is a relative distance index, not a percentage of Canadian identity, a welfare score, or a probability.",
      "degenerate": "If both distances are zero, report an undifferentiated comparison rather than dividing by zero."
    },
    "methodComparison": [
      {
        "method": "Equal-domain Gower L1",
        "decision": "baseline",
        "reason": "Transparent units, bounded normalized distances, direct domain decomposition and no covariance inversion with few countries."
      },
      {
        "method": "Empirical percentile distances",
        "decision": "sensitivity",
        "reason": "Less sensitive to the magnitude of extreme values such as Luxembourg's GDP, but discards cardinal distances."
      },
      {
        "method": "Euclidean distance on normalized values",
        "decision": "sensitivity",
        "reason": "Makes larger deviations more influential; preserves the same selected data and domain weights."
      },
      {
        "method": "Mahalanobis or a PCA-defined similarity score",
        "decision": "rejected as baseline",
        "reason": "The number of indicators can approach the 29-country sample size; covariance regularization and latent weights would be unstable and harder to audit. A two-dimensional projection is not the full distance."
      }
    ],
    "domainCandidates": [
      "Production and innovative capacity",
      "Economic structure and external openness",
      "Public finance and defence",
      "Health and health financing",
      "Demography and labour",
      "Climate and energy",
      "Learning",
      "Institutions"
    ],
    "sensitivityRequired": [
      "Equal-domain versus equal-indicator weights",
      "L1 versus normalized Euclidean distance",
      "Range versus empirical percentile normalization",
      "EU median, equal-member mean and population-weighted profile",
      "Leave one domain out and leave one indicator out",
      "Country-neighbor comparison rather than only a synthetic EU centroid",
      "2019/earlier-common-year comparison on the same eligible indicator subset when source coverage permits",
      "Sampling-cautioned learning domain excluded",
      "A deterministic, evenly sampled domain-weight scenario set, explicitly not a sampling distribution or probability"
    ],
    "reporting": {
      "noPreselectedAnswer": true,
      "headline": "Write the verdict only after estimating the frozen baseline and its sensitivities. If the sign changes materially, lead with conditionality rather than an unqualified affiliation.",
      "uncertainty": "Separate survey/institution measurement uncertainty from researcher-choice sensitivity. Do not label a scenario interval a statistical confidence interval.",
      "portable": "Export the selected data, definitions, normalized values, domain distances, exact weights and restorable reader state.",
      "originalStory": "Preserve the existing three-region story and its refusal of an overall welfare ranking; append this explicitly different similarity exercise."
    }
  }
}
