{
  "releaseId": "terra-geobenchx-v1",
  "taskId": "596713",
  "question": "Make a heatmap of railway stations density in Brazil,",
  "submittedPrompt": "Make a heatmap of railway stations density in Brazil,\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": "Delivered: from the supplied inventory, I can only give a catalog-based answer, not a real heatmap.\n\nA true **Brazil railway-station density heatmap is not supported here**. The inventory is metadata-only, and it does **not** list a Brazil railway stations dataset. The only explicit station source is **“Amtrak railway stations”** (U.S. only). Brazil-related rail sources listed are **“Railways in Brazil”** and **“Rail lines (total route-km)”**, which do not provide Brazil station locations.\n\nNext step: provide a **Brazil railway stations point dataset** with actual files, or switch to a **rail-network density** proxy using **“Railways in Brazil.”**\n\n### Limitations\n\n- This task environment provides source-availability metadata only, not the observation files needed to compute or display a heatmap.\n- Not producible here because the supplied closed catalog does not include a Brazil railway stations dataset and this cohort does not include observation files.\n- **Railway stations:** The listed inventory does not include a Brazil railway stations layer, and this cohort does not include observation files.",
  "checks": {
    "expectedCount": null,
    "actualCount": null,
    "expectedMetrics": null,
    "actualMetrics": null,
    "computationCorrect": null,
    "answerFulfilled": true,
    "adjudication": {
      "reviewedAt": "2026-10-07T07:30:31.956140+00:00",
      "reviewer": "Codex evaluation operator (AI-assisted); not blinded or external",
      "rubricFingerprint": "06bc1e20cfcec5be07c425273ce6e039a2b84aa530a819494853f2670cfe81fd",
      "finalEventId": "[resource id withheld]",
      "finalTextHash": "d7607c2543d1cc088b38be8f5d169edb5e0a1a0a1955b54f1f87e9e24a46144e",
      "snapshotSha256AtReview": "93f268f9763ff5696726344561a6cffe76535785a9b13b3cfff8ffa8802861a3",
      "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 missing Brazilian railway-station points, while acknowledging existing Brazilian rail lines."
        },
        "no_false_proxy": {
          "satisfied": true,
          "explanation": "Separates rail-network density as an optional different proxy rather than inventing stations from railway lines."
        },
        "scope_honesty": {
          "satisfied": true,
          "explanation": "Confines the conclusion to the supplied metadata-only inventory and the absence of a Brazil station source."
        },
        "no_fabrication": {
          "satisfied": true,
          "explanation": "Explicitly says no real heatmap can be produced; two bookkeeping calls, no jobs/artifacts."
        },
        "useful_next_step": {
          "satisfied": true,
          "explanation": "Requests actual Brazilian station points or an explicitly changed rail-network-density question."
        }
      },
      "cohort": "metadata-only qualitative control; distinct from computational correctness"
    },
    "qualification": "Operator-adjudicated, not blinded. Reported separately from exact computed/map results.",
    "reasons": []
  },
  "activity": [
    {
      "at": "2026-10-07T07:28:13.873467Z",
      "title": "get_analysis",
      "detail": "Recorded tool call · completed"
    },
    {
      "at": "2026-10-07T07:28:19.591779Z",
      "title": "Progress update",
      "detail": "I’m recording the request and the catalog-only limit, then I’ll give the supported answer."
    },
    {
      "at": "2026-10-07T07:28:31.055463Z",
      "title": "update_analysis_brief",
      "detail": "Recorded tool call · completed"
    }
  ],
  "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": "6ace79d7e90468366808e202eafe24596e5a55d968ca58725fe3e48b39628d14",
  "investigations": []
}