{
  "releaseId": "terra-geobenchx-v1",
  "taskId": "664340",
  "question": "Generate a heatmap of population density along African railway corridors,",
  "submittedPrompt": "Generate a heatmap of population density along African railway corridors,\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: I assessed the supplied source inventory only. No heatmap was produced.\n\nA full Africa railway-corridor population-density heatmap is not supported here. The inventory includes **“Railways in Africa”**, but the only African gridded population layers listed are **“Angola population, 2020, people, resolution 1 km”** and **“Algeria population density per 1 km 2020, 1 km resolution.”** The listed **“Population, total”** and **“Rural population, total”** are country totals, so they are too coarse for a corridor heatmap. This cohort also provides **catalog metadata only**, not the underlying files.\n\nUnanswered requirement: continent-wide spatial population coverage along African rail corridors.\n\nNext: use a computational environment with the actual files and an Africa-wide population raster, or narrow the request to a country with matching raster coverage, such as Angola or Algeria.\n\n### Limitations\n\n- This task provides source-inventory metadata only, not the underlying observation files.\n- The listed African gridded population sources cover Angola and Algeria, not all African railway corridors.\n- Not supported in this closed-catalog snapshot because only source metadata is available here and the listed African population rasters do not cover the full continent.\n- **Railways:** This snapshot does not include the geometry file, so corridor mapping is not yet confirmed.\n- **Population density:** A continent-wide African population surface is not listed here, and the underlying files are not available in this task.",
  "checks": {
    "expectedCount": null,
    "actualCount": null,
    "expectedMetrics": null,
    "actualMetrics": null,
    "computationCorrect": null,
    "answerFulfilled": true,
    "adjudication": {
      "reviewedAt": "2026-10-07T07:34:58.460583+00:00",
      "reviewer": "Codex evaluation operator (AI-assisted); not blinded or external",
      "rubricFingerprint": "7ba221c1927cacff640732f5ada5b53817ebd76b01df548fca24e9e9e260d14d",
      "finalEventId": "[resource id withheld]",
      "finalTextHash": "3442a4707cbfcf7816d0e173476f43fc744ba258f5e57e75cbc9e59d620523cf",
      "snapshotSha256AtReview": "37a94bf051e87baf27d0be1c7fad81999e0d98c981615eaa09deaf93842df30a",
      "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 continental railway coverage but population rasters only for Angola and Algeria, not the complete African network."
        },
        "no_false_proxy": {
          "satisfied": true,
          "explanation": "Explains country totals are too coarse for corridor density and explicitly labels a country-only option as narrower scope."
        },
        "scope_honesty": {
          "satisfied": true,
          "explanation": "Names the actual listed sources and states this cohort supplies metadata rather than their files."
        },
        "no_fabrication": {
          "satisfied": true,
          "explanation": "Explicitly reports no heatmap; two bookkeeping calls and no jobs/artifacts."
        },
        "useful_next_step": {
          "satisfied": true,
          "explanation": "Requests actual network and continent-wide population files, or an explicitly narrowed matching country."
        }
      },
      "cohort": "metadata-only qualitative control; distinct from computational correctness"
    },
    "qualification": "Operator-adjudicated, not blinded. Reported separately from exact computed/map results.",
    "reasons": []
  },
  "activity": [
    {
      "at": "2026-10-07T07:29:50.701073Z",
      "title": "Progress update",
      "detail": "I’m checking what the supplied catalog can actually support for this request."
    },
    {
      "at": "2026-10-07T07:30:51.015247Z",
      "title": "get_analysis",
      "detail": "Recorded tool call · completed"
    },
    {
      "at": "2026-10-07T07:31:18.073207Z",
      "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": "3771544168b17b72aa79a5b8e0480195f7820eb053a57086a4d95075f336a786",
  "investigations": []
}