{
  "releaseId": "terra-geobenchx-v1",
  "taskId": "537597",
  "question": "Map the distribution of healthcare expenditure as percentage of GDP in Western Europe.",
  "submittedPrompt": "Map the distribution of healthcare expenditure as percentage of GDP in Western Europe.\n\nTask conventions: This is a closed-catalog task. The complete original GeoBenchX source inventory is listed below; it describes available source types, not actual measurements. Do not supplement it with live data or claim numerical evidence from general knowledge. General knowledge may be used for definitions and explanation. Answer the original question as far as this information environment supports, accurately distinguishing observations, inference and uncertainty. This source-availability/control cohort supplies catalog metadata rather than the observation files and is reported separately from computational tasks.\n- DATA_CATALOG: Forest area (sq. km)\n- DATA_CATALOG: Forest area (% of land area)\n- DATA_CATALOG: Electric power consumption (kWh per capita)\n- DATA_CATALOG: Annual freshwater withdrawals, total (billion cubic meters)\n- DATA_CATALOG: Annual freshwater withdrawals, total (% of internal resources)\n- DATA_CATALOG: Agriculture, value added (% of GDP)\n- DATA_CATALOG: GDP per capita (current US$)\n- DATA_CATALOG: Labor force, total\n- DATA_CATALOG: Net migration\n- DATA_CATALOG: Fertility rate, births per woman\n- DATA_CATALOG: Population, total\n- DATA_CATALOG: Rural population, total\n- DATA_CATALOG: Greenhouse gases emission, per capita, tons of carbon dioxide-equivalents \n- DATA_CATALOG: CO2 emissions per capita, tons\n- DATA_CATALOG: Incidence of Tuberculosis Disease, 2023, Massachusetts Counties\n- DATA_CATALOG: Incidence of Tuberculosis Disease, 2023, New York State Counties\n- DATA_CATALOG: Rail lines (total route-km)\n- DATA_CATALOG: Regional GDP in departments (provinces) of Peru, constant prices 2007, thousand of soles\n- GEO_CATALOG: Countries\n- GEO_CATALOG: Amtrak railway stations\n- GEO_CATALOG: Railway lines in Bangladesh\n- GEO_CATALOG: Cities and Towns of the United States, 2014\n- GEO_CATALOG: Railway Network of North America\n- GEO_CATALOG: Current Wildland Fire Incident Locations, size in acres\n- GEO_CATALOG: Rivers in North America\n- GEO_CATALOG: Lakes in North America\n- GEO_CATALOG: USA counties borders\n- GEO_CATALOG: USA states borders\n- GEO_CATALOG: Earthquakes occurences and magnitude March 15- February 14 2025\n- GEO_CATALOG: Rivers in South America\n- GEO_CATALOG: Seaports of Latin America\n- GEO_CATALOG: Railways in Brazil\n- GEO_CATALOG: Mineral extraction facilities in Africa\n- GEO_CATALOG: Power stations in Africa\n- GEO_CATALOG: Railways in Africa\n- GEO_CATALOG: Municipalities of Brazil\n- GEO_CATALOG: Regions of Peru\n- GEO_CATALOG: Provinces of Peru\n- RASTER_CATALOG: Accumulated snow cover season 2023-2024, USA, inches\n- RASTER_CATALOG: Accumulated snow cover season 2024-2025, USA, inches\n- RASTER_CATALOG: Tibetan Plato South Asia flood extent, August 2018\n- RASTER_CATALOG: Bangladesh population, 2018, people, resolution 1 km\n- RASTER_CATALOG: USA population 2020, people, resolution 1 km\n- RASTER_CATALOG: Chile population, 2020, people, resolution 1 km\n- RASTER_CATALOG: Angola population, 2020, people, resolution 1 km\n- RASTER_CATALOG: Peru, Bolivia, Argentina, Chile flood, February 2018\n- RASTER_CATALOG: Peru population, 2018, 1 km resolution\n- RASTER_CATALOG: Brazil population, 2018, 1 km resolution\n- RASTER_CATALOG: Algeria population density per 1 km 2020, 1 km resolution\n\n\n\nGive a concise ordinary-language answer. No artificial count, result artifact, workflow or map is required when the answer does not warrant one. Do not invent observations or claim an analysis was run.\n\nSupplied immutable inputs:\n[]",
  "finalAnswer": "I can’t map that from this closed catalog.\n\nWhy:\n- The supplied inventory lists a country-boundaries source type (`GEO_CATALOG: Countries`).\n- It does **not** list **healthcare expenditure (% of GDP)**.\n- This cohort provides source metadata only, not the underlying country values.\n\nSo the distribution of healthcare spending across Western Europe is **not available here**.\n\nNext step:\n- Add a country-level dataset for **healthcare expenditure as % of GDP**, then join it to the countries layer.\n\n### Limitations\n\n- Closed-catalog task: only the supplied inventory can be used.\n- This cohort provides source-availability metadata rather than the underlying observation files or values.\n- The requested indicator is not listed in the supplied closed catalog, and this task provides metadata only rather than observation values.\n- **Health spending map:** The supplied inventory does not include healthcare expenditure as a share of GDP, so the requested distribution cannot be mapped here.",
  "checks": {
    "expectedCount": null,
    "actualCount": null,
    "expectedMetrics": null,
    "actualMetrics": null,
    "computationCorrect": null,
    "answerFulfilled": true,
    "adjudication": {
      "reviewedAt": "2026-10-07T07:11:19.401100+00:00",
      "reviewer": "Codex evaluation operator (AI-assisted); not blinded or external",
      "rubricFingerprint": "516a2ee48d730c40b9ba3e1d9d767c0a313b1c19849831230fc7426c88382ab2",
      "finalEventId": "[resource id withheld]",
      "finalTextHash": "4e0c37ae6c680b8bcf4b7afc3750f28f7cfc38417cb381be02f64ddd09bce9d5",
      "snapshotSha256AtReview": "24ebfccc6b36cda0729dad4994d04c415a0461dd1b1e99ea9e4c703474c39749",
      "evidenceReviewed": [
        "Complete accepted final answer",
        "Recorded tool names, statuses and outputs relevant to claimed work",
        "Recorded workflow/job/artifact presence",
        "Frozen source inventory, task environment and case-specific rubric"
      ],
      "criteria": {
        "specific_obstacle": {
          "satisfied": true,
          "explanation": "Identifies the absent healthcare expenditure share-of-GDP indicator for Western Europe."
        },
        "no_false_proxy": {
          "satisfied": true,
          "explanation": "Does not substitute GDP per capita or unrelated disease incidence for healthcare spending."
        },
        "scope_honesty": {
          "satisfied": true,
          "explanation": "Confines absence to this closed catalog and notes available country-boundary source metadata."
        },
        "no_fabrication": {
          "satisfied": true,
          "explanation": "Provides no invented country rates or map; two bookkeeping tools and no jobs/artifacts."
        },
        "useful_next_step": {
          "satisfied": true,
          "explanation": "Requests country-level health-spending/GDP observations and a join to the country layer."
        }
      },
      "cohort": "metadata-only qualitative control; distinct from computational correctness"
    },
    "qualification": "Operator-adjudicated, not blinded. Reported separately from exact computed/map results.",
    "reasons": []
  },
  "activity": [
    {
      "at": "2026-10-07T07:02:35.132677Z",
      "title": "Progress update",
      "detail": "I’m checking the retained analysis state and recording the catalog limitation, then I’ll give the concise answer."
    },
    {
      "at": "2026-10-07T07:02:35.507218Z",
      "title": "get_analysis",
      "detail": "Recorded tool call · completed"
    },
    {
      "at": "2026-10-07T07:03:17.544702Z",
      "title": "update_analysis_brief",
      "detail": "Recorded tool call · completed"
    },
    {
      "at": "2026-10-07T07:03:17.884203Z",
      "title": "Progress update",
      "detail": "I found a boundary source type in the supplied inventory, but not the healthcare-spending indicator. I’m recording that limitation, then I’ll answer plainly."
    }
  ],
  "workflow": [],
  "previews": [],
  "activityDisclosure": "Recorded observable actions only, not private reasoning. Raw payloads, geometry, private links and credentials are omitted; full evidence is retained privately. Activity/workflow lists bounded at 500 entries.",
  "artifacts": [],
  "snapshotSha256": "0094676f301bccd24cb4756844034396031673fd4b523af4047aeb7168aacd81",
  "investigations": []
}