Research/Terra/ 272736
Task evidence / county-heatmap

Make a heatmap of tuberculosis cases in New York State

PassComputational taskUnpublished draft
Download evidence JSON ↓

The question

272736
Make a heatmap of tuberculosis cases in New York State
Exact submitted task and declared adaptations
Make a heatmap of tuberculosis cases in New York State

Task conventions: Use only the frozen 2023 county TB tables for these states: {"36": "tb_ny"}. Select original Census county features by STATEFP before joining NAME to the corresponding table's County column. Use tb_ny '2023 cases' and tb_ma 'Number of Cases', not rates. Repeated county names across states must not mix; aggregate state/city totals and footnotes are not counties. Preserve genuine zero cases. Missing counts are unknown, never zero. Derive one geometric centroid per original county in EPSG:5070 and weight it by the published county case count. This represents county totals at geometric centroids, not patient locations or within-county disease density. No population-weighted centroid is claimed. Use a disclosed metric raster adaptation instead of the reference's screen-pixel radius: grid={"bounds": [-500000, 1000000, 3000000, 3500000], "crs": "EPSG:5070", "resolutionX": 5000, "resolutionY": 5000}, Gaussian radiusM=50000 is three sigma, kernel truncated at four sigma with constant-zero padding. Use weightField='case_count' and weightUnit='cases'. A cell measures smoothed case-count mass per cell, not cases/km². Preserve complete grid including zero cells; no normalization, resampling or extra clipping. The two-state task corrects the archived reference's joining of tables by county name without state disambiguation; no cases may be counted twice.



Add the heatmap and publish both its raster and an inspectable original-county polygon selection carrying case_count and benchmark_row_id. End with one fenced JSON: {count: number of counties with known counts, unknown_count: counties with unknown counts, coverage_note, selection:{collectionId,itemId,assetKey} for original county polygons with known counts, value_field:'case_count', density:{collectionId,itemId,assetKey} for the raster, map_layer_id: actual heatmap layer ID}. Clearly disclose centroid aggregation and frozen year.

Delivery format: provide the answer object with all fields specified above as final_response on assess_result, alongside the inspected final artifact_refs. This replaces the JSON-code-block formatting requirement above. Blue attaches your explicit selection to the accepted final answer. Finish with a concise ordinary-language answer agreeing with that selected result; do not duplicate the JSON in chat.

Supplied immutable inputs:
[
  {
    "name": "US county boundaries",
    "edition": "Census TIGER/Line 2024",
    "units": {},
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  },
  {
    "name": "New York county tuberculosis cases and rates, 2019\u20132023",
    "edition": "NYSDOH 2024 report, frozen GeoBenchX transcription; use 2023 counts",
    "units": {
      "2023 cases": "cases",
      "2023 cases per 100 000": "cases per 100,000 people"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Independent artifact and delivery checks passed.

Duration
26m 31s
Recorded Blue tool calls
67
Total tokens
3,342,111
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done — the heatmap is on your map, and the published county layer is ready too. I matched all 62 New York counties to the frozen 2023 county TB counts, with 0 unknown counties. The heatmap uses one geometric centroid per county, so it shows smoothed county-total mass, not patient locations or within-county disease density. Use the county layer with `case_count` and `benchmark_row_id` when you want exact county totals beside the smoothed surface. ### Limitations - County totals are placed at one geometric centroid per county in EPSG:5070; this does not represent patient locations or within-county disease density. - Raster cells measure smoothed case-count mass per 5 km cell, not cases per square kilometre. - The workflow uses the frozen 2023 New York county table and published counts, not rates. - These polygons show county totals only and do not locate cases within counties. - The counts are the frozen published 2023 county totals, not rates. - The heatmap shows smoothed county-total mass around geometric county centroids, not patient locations or within-county disease density. - Each raster cell measures smoothed case-count mass per 5 km cell, not cases per square kilometre. - The outputs use the frozen 2023 New York county table and published counts, not rates. - These polygons and centroid locations represent county-level aggregation only; they do not locate cases within counties. - Uses the frozen published 2023 county counts only. It does not use rates or patient locations.

Independent checks

These checks are separate from the agent's own assessment. A successful job or an assertion of success is not enough to pass.

Expected count
62
Reported count
62
Computation verified
Yes
Answer fulfilled
Yes
Full grading and rubric record
{
  "expectedCount": 62,
  "actualCount": 62,
  "expectedMetrics": null,
  "actualMetrics": null,
  "computationCorrect": true,
  "answerFulfilled": true,
  "adjudication": null,
  "qualification": null,
  "reasons": []
}

Recorded investigation findings

The agent's reported hypotheses and assessments, retained as evidence of its process—not independent proof that the answer is correct. Failed calls retain their requested verdict, not an accepted assessment.

run_trial · completed

Does the full New York workflow correctly select original STATEFP='36' counties, join the frozen 2023 county table by NAME to County without double counting, preserve zero and null counts, derive geometric centroids in EPSG:5070, and produce the required metric heatmap grid?

assess_trial · completed · assessment: sufficient

The statewide test answered the method question. The county filter selected 62 original New York counties with STATEFP='36'. The NAME-to-County left join matched all 62 county features to 62 table rows with zero unmatched input features and no duplicate-key failure. The derived case_count field preserved genuine zeros: 30 counties have case_count=0, and the known-count selection still contains all 62 counties. The unknown-count selection is empty for this frozen 2023 New York input. Centroid output contains 62 point features derived from the original county polygons. The density raster uses the exact supplied EPSG:5070 grid bounds [-500000,1000000,3000000,3500000], 5000 m resolution, radiusM 50000, weightField case_count, weightUnit cases, complete 700x500 coverage, validFraction 1.0, nodataFraction 0.0, minimum 0 and no outside-grid points. The raster unit is smoothed case-count mass per grid cell, with constant-zero exterior and the processor's four-sigma kernel truncation.

assess_result · completed · assessment: sufficient

The published county output is sufficient. It contains all 62 original New York county polygons from the Census file, all with STATEFP='36', joined to the frozen 2023 New York TB table by county name. The join matched 62 of 62 county features to 62 table rows with no unmatched county features and no duplicate-key failure. The published polygons preserve benchmark_row_id and case_count, and genuine zeros remain valid: the final selection has case_count minimum 0, nullCount 0, and zero-count rows such as Allegany and Cattaraugus remain present. The supplied TB table contains 69 rows total, so 7 aggregate or non-county rows were not joined to counties.

assess_result · failed · requested assessment: sufficient

The published heatmap result is sufficient. The final raster is on the map as layer [resource id withheld], and it matches the tested statewide method. It uses 62 county centroids derived from the original New York county polygons, weighted by the frozen 2023 published county case counts, and preserves the full fixed EPSG:5070 grid with valid zero cells. The published county companion layer contains all 62 New York counties with case_count and benchmark_row_id. Sources are the supplied U.S. Census Bureau TIGER/Line 2024 county boundaries and the supplied NYSDOH 2024 report frozen GeoBenchX transcription of county tuberculosis counts, retrieved from the Blue-hosted supplied collections on 2026-10-07.

assess_result · completed · assessment: sufficient

The published heatmap result is sufficient. The final raster is on the map as layer [resource id withheld], and it matches the tested statewide method. It uses 62 county centroids derived from the original New York county polygons, weighted by the frozen 2023 published county case counts, and preserves the full fixed EPSG:5070 grid with valid zero cells. The published county companion layer contains all 62 New York counties with case_count and benchmark_row_id. Sources are the supplied U.S. Census Bureau TIGER/Line 2024 county boundaries and the supplied NYSDOH 2024 report frozen GeoBenchX transcription of county tuberculosis counts, retrieved from the Blue-hosted supplied collections on 2026-10-07.

Recorded workflow

  1. 01

    Create case_count field

    Recorded vector-field-calculate · succeeded

  2. 02

    US county boundaries

    Recorded source · succeeded

  3. 03

    Derive county centroids

    Recorded vector-centroids · succeeded

  4. 04

    New York 2023 tuberculosis counties

    Recorded output · succeeded

  5. 05

    New York 2023 tuberculosis heatmap

    Recorded output · succeeded

  6. 06

    Join frozen county TB counts

    Recorded table-attribute-join · succeeded

  7. 07

    Keep counties with known counts

    Recorded vector-filter · succeeded

  8. 08

    Filter New York counties

    Recorded vector-filter · succeeded

  9. 09

    Build county-centroid heatmap

    Recorded point-density · succeeded

  10. 10

    New York county TB table

    Recorded source · succeeded

  11. 11

    Keep counties with unknown counts

    Recorded vector-filter · skipped

  12. 12

    Create case_count field

    Recorded vector-field-calculate · succeeded

  13. 13

    US county boundaries

    Recorded source · succeeded

  14. 14

    Derive county centroids

    Recorded vector-centroids · succeeded

  15. 15

    Join frozen county TB counts

    Recorded table-attribute-join · succeeded

  16. 16

    Keep counties with known counts

    Recorded vector-filter · succeeded

  17. 17

    Filter New York counties

    Recorded vector-filter · succeeded

  18. 18

    Build county-centroid heatmap

    Recorded point-density · succeeded

  19. 19

    New York county TB table

    Recorded source · succeeded

  20. 20

    Filter New York counties

    Recorded output · succeeded

  21. 21

    Join frozen county TB counts

    Recorded output · succeeded

  22. 22

    Create case_count field

    Recorded output · succeeded

  23. 23

    Keep counties with known counts

    Recorded output · succeeded

  24. 24

    Keep counties with unknown counts

    Recorded output · succeeded

  25. 25

    Derive county centroids

    Recorded output · succeeded

  26. 26

    Build county-centroid heatmap

    Recorded output · succeeded

  27. 27

    Keep counties with unknown counts

    Recorded vector-filter · succeeded

Activity

Recorded actions

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.

  1. Progress update

    I’ll build this from the frozen 2023 New York county table, test the join and centroid-to-heatmap method on a small private trial, then save and run the full New York workflow. After that I’ll inspect the actual outputs, bind the heatmap layer, and return the final coverage counts and artifact references.

  2. get_analysis

    Recorded tool call · completed

  3. get_collection

    Recorded tool call · completed

  4. get_collection

    Recorded tool call · completed

  5. get_tool_help

    Recorded tool call · completed

  6. get_tool_help

    Recorded tool call · completed

  7. get_tool_help

    Recorded tool call · completed

  8. Progress update

    I’ve confirmed the task starts from two immutable supplied inputs, not a live catalog search. Next I’m inspecting bounded samples so I can use the exact county and TB fields, then I’ll test the join and unknown-count handling before saving the statewide workflow.

  9. get_collection

    Recorded tool call · completed

  10. get_collection

    Recorded tool call · completed

  11. list_processors

    Recorded tool call · completed

  12. list_processors

    Recorded tool call · completed

  13. list_processors

    Recorded tool call · completed

  14. get_tool_help

    Recorded tool call · completed

  15. list_processors

    Recorded tool call · completed

  16. describe_processors

    Recorded tool call · completed

  17. list_processors

    Recorded tool call · completed

  18. describe_processors

    Recorded tool call · completed

  19. Progress update

    I found the main preparation path: filter New York counties, join the frozen county table by county name after the state filter, convert the joined counties to centroids in EPSG:5070, then run point density with the exact metric grid and Gaussian settings the task specifies. I’m checking the exact processor schemas now so I can test a minimal slice without guessing field names or parameters.

  20. describe_processors

    Recorded tool call · completed

  21. get_tool_help

    Recorded tool call · completed

  22. get_tool_help

    Recorded tool call · completed

  23. get_map_context

    Recorded tool call · completed

  24. list_map_layers

    Recorded tool call · completed

  25. describe_processors

    Recorded tool call · completed

  26. describe_processors

    Recorded tool call · completed

  27. get_tool_help

    Recorded tool call · failed

  28. update_analysis_brief

    Recorded tool call · completed

  29. get_tool_help

    Recorded tool call · completed

  30. get_tool_help

    Recorded tool call · completed

  31. get_tool_help

    Recorded tool call · completed

  32. Progress update

    I have enough schema detail to build the method without guessing. I’m using a full statewide private trial because the job is small: 62 counties and a fixed 5 km raster grid. That lets me verify the exact join, null handling, centroid projection, and final heatmap behavior before I publish anything.

  33. run_trial

    Recorded tool call · completed

  34. Progress update

    The statewide private test finished successfully. I’ve confirmed the New York county filter, the county-name join, the zero/null handling, and the exact 5 km EPSG:5070 heatmap settings. I’m checking the inspected outputs now, then I’ll promote this exact tested computation into the publishable workflow and add the heatmap to your map.

  35. get_trial_report

    Recorded tool call · completed

  36. inspect_artifact

    Recorded tool call · completed

  37. inspect_artifact

    Recorded tool call · completed

  38. inspect_artifact

    Recorded tool call · completed

  39. inspect_artifact

    Recorded tool call · completed

  40. inspect_artifact

    Recorded tool call · completed

  41. get_tool_help

    Recorded tool call · completed

  42. get_tool_help

    Recorded tool call · completed

  43. inspect_artifact

    Recorded tool call · completed

  44. get_tool_help

    Recorded tool call · completed

  45. Progress update

    The method is confirmed. I’m updating the brief from that evidence now, then I’ll save the exact tested statewide computation as the final workflow instead of rebuilding it from scratch.

  46. Progress update

    I’ve verified the real zero-count counties too. There are 62 known-count counties, 0 unknown-count counties, and at least 30 counties with genuine zero published cases retained as zeros. Next I’m saving the tested workflow with those exact outputs.

  47. get_tool_help

    Recorded tool call · completed

  48. get_tool_help

    Recorded tool call · completed

  49. get_tool_help

    Recorded tool call · completed

  50. update_analysis_brief

    Recorded tool call · completed

  51. assess_trial

    Recorded tool call · completed

  52. get_tool_help

    Recorded tool call · completed

  53. get_tool_help

    Recorded tool call · completed

  54. get_tool_help

    Recorded tool call · completed

  55. Progress update

    I have the tested output choices. I’m checking the proposal contract fields now so I can record the fixed join, grid, and smoothing settings cleanly instead of leaving them implicit.

  56. propose_workflow

    Recorded tool call · completed

  57. get_tool_help

    Recorded tool call · completed

  58. get_tool_help

    Recorded tool call · completed

  59. get_tool_help

    Recorded tool call · completed

  60. Progress update

    The draft saved, but Blue flagged one fix: the contract scope has to match the preserved tested workflow scope exactly. I’m correcting that now without changing the tested method.

  61. Progress update

    I’m refreshing the draft with the exact preserved trial scope so Blue treats the saved workflow as the same tested method, not a changed extent.

  62. propose_workflow

    Recorded tool call · completed

  63. execute_workflow

    Recorded tool call · completed

  64. Progress update

    The saved workflow is now valid and still matches the tested method. I’m starting the final run so I can inspect the publishable artifacts and bind the real heatmap layer, not just the private trial outputs.

  65. Progress update

    The approved run appears to have finished in the background. I’m inspecting the actual final workflow outputs now so I can bind the real heatmap layer and select the final artifacts, not the earlier private trial copies.

  66. Progress update

    The publishable run finished. I’m reading its exact output receipts next so I can attach the right final artifacts and the real map layer ID.

  67. inspect_workflow_results

    Recorded tool call · completed

  68. list_map_layers

    Recorded tool call · completed

  69. inspect_artifact

    Recorded tool call · completed

  70. inspect_artifact

    Recorded tool call · completed

  71. inspect_artifact

    Recorded tool call · completed

  72. inspect_artifact

    Recorded tool call · failed

  73. Progress update

    I already have the published item IDs and heatmap layer ID. I’m just finishing the final result check against the published outputs themselves so I can attach the correct answer object once, with no private trial artifacts mixed in.

  74. inspect_workflow_results

    Recorded tool call · completed

  75. inspect_artifact

    Recorded tool call · completed

  76. inspect_artifact

    Recorded tool call · completed

  77. get_tool_help

    Recorded tool call · completed

  78. inspect_artifact

    Recorded tool call · completed

  79. Progress update

    I’ve confirmed the final published county layer and raster. I’m recording the county output first, then I’ll attach the final answer object to the heatmap result with the live heatmap layer ID.

  80. assess_result

    Recorded tool call · completed

  81. Progress update

    The county layer is accepted. I’m attaching the final answer object to the heatmap result now, using the published county layer and the live heatmap layer already on your map.

  82. assess_result

    Recorded tool call · failed

  83. Progress update

    Blue rejected the first pass because the heatmap assessment has to use the exact recorded acceptance-condition text. I’m resubmitting the same evidence with those exact condition labels now.

  84. assess_result

    Recorded tool call · completed

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