Research/Terra/ 911650
Task evidence / geographic-heatmap

Generate a heatmap of power station density in African regions with high rural population

PartialComputational taskUnpublished draft
Download evidence JSON ↓

The question

911650
Generate a heatmap of power station density in African regions with high rural population
Exact submitted task and declared adaptations
Generate a heatmap of power station density in African regions with high rural population

Task conventions: Use supplied countries with CONTINENT=Africa. High rural population means 2023 rural population divided by total population strictly greater than 0.5, using WDI SP.RUR.TOTL and SP.POP.TOTL. Weight points by DsgAttr02 MW; this is capacity-weighted, not a station count surface. Use original point records strictly within the original selected country polygons; no clipped polygons, location guesses or current data. Join country ISO_A3 to the supplied indicator table's Country Code exactly. Unknown country indicators, nonpositive ratio denominators, missing geometry and missing/nonfinite weights are unknown, not zero. Known zero weights remain valid. Exclude valid points outside the specified geography. Include only eligible points with a finite nonnegative weight in the contributing artifact; report other potentially eligible points as unknown. Use this explicit geographic heatmap convention: grid={"bounds": [-18000000, -7325000, 18000000, 7325000], "crs": "EPSG:6933", "resolutionX": 25000, "resolutionY": 25000}, radius 150000 metres = three Gaussian standard deviations. First bin each point into its containing grid cell and sum its weight. Smooth using a normalized separable Gaussian, numerical support four standard deviations, constant-zero exterior; do not renormalize edges. Use both grid resolutions for the two axes; keep original grid alignment. This is a declared metric raster adaptation to the original interactive screen-pixel heatmap, not an equivalent zoom-dependent rendering. Output unit: sum of MW per grid cell. Zero cells are valid; this is not density per square kilometre. Do not rescale the values for presentation.



Add the heatmap raster to the map and retain an inspectable selected-point artifact with original geometry and benchmark_row_id. End with one fenced JSON object: {count: contributing point records, unknown_count: records with unknown eligibility or weight, unlocated_count: original points lacking valid geometry, coverage_note: string, selection: {collectionId,itemId,assetKey}, density: {collectionId,itemId,assetKey}, map_layer_id: heatmap_layer_id}. Explain the data edition, numerical weights, grid, smoothing and coverage limitations. The source-point artifact is not itself the requested heatmap.

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": "African power stations",
    "edition": "USGS 2021 frozen compilation",
    "units": {
      "DsgAttr02": "MW"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  },
  {
    "name": "World Bank country boundaries",
    "edition": "GeoBenchX harmonized names",
    "units": {},
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  },
  {
    "name": "World Bank SP.RUR.TOTL",
    "edition": "Frozen GeoBenchX World Development Indicators; use 2023",
    "units": {
      "2023": "people"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  },
  {
    "name": "World Bank SP.POP.TOTL",
    "edition": "Frozen GeoBenchX World Development Indicators; use 2023",
    "units": {
      "2023": "people"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Final count or unknown-coverage count disagrees with the computed evidence.

Duration
33m 49s
Recorded Blue tool calls
97
Total tokens
6,067,163
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Done. I added the heatmap to the map and kept the contributing original point set for inspection. It uses the supplied USGS 2021 frozen power-station compilation, weights stations by `DsgAttr02` MW, and filters to the 30 African countries whose frozen 2023 World Bank rural share is strictly above 0.5. The raster is on the fixed EPSG:6933 25 km grid you specified, with 150 km Gaussian smoothing, and values stay in MW per grid cell. Limits: 212 eligible located records have unknown MW and were excluded from contributors, 31 original records have no valid geometry, newer plant changes are not included, and edge cells can lose mass near the global grid boundary. Next, open the heatmap layer or inspect the retained point artifact to trace contributors by `benchmark_row_id`. ### Limitations - Power stations come from the supplied USGS 2021 frozen compilation, so later plant additions, retirements, relocations, and capacity changes are not included. - Country eligibility uses the supplied GeoBenchX-harmonized World Bank country boundaries together with frozen 2023 World Development Indicators joined by ISO_A3 = Country Code. - Eligible located points with unknown MW are excluded from the contributing artifact and counted separately, and original records without valid geometry are counted separately as unlocated. - Heatmap values are MW per 25 km grid cell, not per square kilometre. Gaussian smoothing uses constant-zero exterior, so cells near the global grid boundary can lose mass. - 212 eligible located points have unknown MW and are excluded from the contributing artifact, and 31 original records lacked valid geometry and are counted separately as unlocated. - Heatmap values are MW per 25 km grid cell, not per square kilometre. Smoothing uses a 150 km radius Gaussian with sigma 50 km, four-sigma support, and constant-zero exterior, so cells near the global grid boundary can lose mass.

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
1396
Reported count
1396
Computation verified
Yes
Answer fulfilled
No
Full grading and rubric record
{
  "expectedCount": 1396,
  "actualCount": 1396,
  "expectedMetrics": null,
  "actualMetrics": null,
  "computationCorrect": true,
  "answerFulfilled": false,
  "adjudication": null,
  "qualification": null,
  "reasons": [
    "Final count or unknown-coverage count disagrees with the computed evidence."
  ]
}

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

What exact fields and sample values are present in the supplied boundary, indicator, and power-station files needed for country eligibility, MW weighting, and retained point IDs?

run_trial · completed

After joining the 2023 rural-population and total-population tables to African country polygons, what exact output field names are available for the two 2023 values and how many African countries match each join?

assess_trial · completed · assessment: sufficient

The supplied boundary file contains polygon geometry plus CONTINENT, ISO_A3, and benchmark_row_id. The supplied rural-population and total-population tables both contain Country Code and a numeric 2023 field. The supplied power-station file contains point geometry where present, DsgAttr02 in MW, and benchmark_row_id. The source inventory also shows 3034 power-station records total, 3003 with valid point geometry, and 31 without valid geometry.

assess_trial · completed · assessment: sufficient

Filtering CONTINENT=Africa selects 52 country polygons from the supplied boundary file. Both WDI tables join cleanly to all 52 African countries on ISO_A3 = Country Code with no unmatched African countries. After the second join, the rural-population 2023 field is named 2023_x and the total-population 2023 field is named 2023_y.

run_trial · completed

Does the full requested method produce eligible African countries, a contributing original-point artifact, separate unknown point counts, and a global EPSG:6933 heatmap raster with the requested weighting and smoothing?

assess_trial · completed · assessment: insufficient

The full requested method materially works on the supplied data: 30 African countries meet the strict rural-share threshold, there are no unknown-country polygons from missing indicators or nonpositive total-population denominators, 31 original power-station records lack valid geometry, 1,396 eligible located points have finite nonnegative MW weights, 212 eligible located points have unknown MW weights, and the point-density raster is nonempty on the exact requested EPSG:6933 grid at 25 km resolution with 150 km Gaussian radius smoothing. However, the contributing-point artifact produced by the spatial join preserves the original point IDs under the renamed field benchmark_row_id_target rather than the exact requested field name benchmark_row_id.

run_trial · completed

Can an aggregate spatial join preserve the original power-station benchmark_row_id field while identifying points strictly within the eligible-country polygons?

assess_trial · completed · assessment: sufficient

The aggregate spatial join preserves the original power-station fields, including benchmark_row_id, and adds only eligible_match_count for the eligible-country test. Filtering eligible_match_count > 0 yields 1,608 located points strictly within the eligible-country polygons. Filtering those points to finite nonnegative MW weights reproduces 1,396 contributing points, while the complementary unknown-weight branch contains 212 points. The corrected contributing-point artifact keeps original point geometry and the exact benchmark_row_id field name required for final delivery.

assess_result · failed · requested assessment: sufficient

Your map now has the capacity-weighted heatmap layer, and I kept the contributing original point set for inspection. The final raster uses 1,396 contributing power-station records across 30 eligible African countries, and the live heatmap layer is [resource id withheld]. Important limits remain: this uses the supplied USGS 2021 frozen power-station compilation and frozen 2023 World Bank tables, 212 eligible located records have unknown MW and were excluded from contributors, and 31 original records are unlocated. Next, inspect the heatmap layer or the retained point artifact if you want to trace individual contributors by benchmark_row_id.

assess_result · completed · assessment: sufficient

Your map now has the capacity-weighted heatmap layer, and I kept the contributing original point set for inspection. The final raster uses 1,396 contributing power-station records across 30 eligible African countries, and the live heatmap layer is [resource id withheld]. Important limits remain: this uses the supplied USGS 2021 frozen power-station compilation and frozen 2023 World Bank tables, 212 eligible located records have unknown MW and were excluded from contributors, and 31 original records are unlocated. Next, inspect the heatmap layer or the retained point artifact if you want to trace individual contributors by benchmark_row_id.

Recorded workflow

  1. 01

    africa

    Recorded vector-filter · succeeded

  2. 02

    contributing points

    Recorded vector-filter · succeeded

  3. 03

    countries

    Recorded source · succeeded

  4. 04

    country values

    Recorded vector-field-calculate · succeeded

  5. 05

    Contributing original power-station points

    Recorded output · succeeded

  6. 06

    Capacity-weighted power heatmap

    Recorded output · succeeded

  7. 07

    density

    Recorded point-density · succeeded

  8. 08

    eligible countries

    Recorded vector-filter · succeeded

  9. 09

    eligible points

    Recorded vector-filter · succeeded

  10. 10

    eligible points clean

    Recorded vector-field-calculate · succeeded

  11. 11

    joined points

    Recorded vector-spatial-join · succeeded

  12. 12

    power

    Recorded source · succeeded

  13. 13

    rural

    Recorded source · succeeded

  14. 14

    rural join

    Recorded table-attribute-join · succeeded

  15. 15

    total

    Recorded source · succeeded

  16. 16

    total join

    Recorded table-attribute-join · succeeded

  17. 17

    unknown countries

    Recorded vector-filter · skipped

  18. 18

    unknown country points

    Recorded vector-filter · skipped

  19. 19

    unknown joined points

    Recorded vector-spatial-join · skipped

  20. 20

    unknown weight points

    Recorded vector-filter · skipped

  21. 21

    unlocated points

    Recorded vector-filter · skipped

  22. 22

    contributing points

    Recorded vector-filter · succeeded

  23. 23

    eligible countries

    Recorded source · succeeded

  24. 24

    eligible points

    Recorded vector-filter · succeeded

  25. 25

    eligible points clean

    Recorded vector-field-calculate · succeeded

  26. 26

    joined points

    Recorded vector-spatial-join · succeeded

  27. 27

    power

    Recorded source · succeeded

  28. 28

    joined points

    Recorded output · succeeded

  29. 29

    eligible points

    Recorded output · succeeded

  30. 30

    contributing points

    Recorded output · succeeded

  31. 31

    unknown weight points

    Recorded output · succeeded

  32. 32

    unknown weight points

    Recorded vector-filter · succeeded

  33. 33

    africa

    Recorded vector-filter · succeeded

  34. 34

    contributing points

    Recorded vector-filter · succeeded

  35. 35

    countries

    Recorded source · succeeded

  36. 36

    country values

    Recorded vector-field-calculate · succeeded

  37. 37

    density

    Recorded point-density · succeeded

  38. 38

    eligible countries

    Recorded vector-filter · succeeded

  39. 39

    eligible points clean

    Recorded vector-field-calculate · succeeded

  40. 40

    eligible points raw

    Recorded vector-spatial-join · succeeded

  41. 41

    power

    Recorded source · succeeded

  42. 42

    rural

    Recorded source · succeeded

  43. 43

    rural join

    Recorded table-attribute-join · succeeded

  44. 44

    total

    Recorded source · succeeded

  45. 45

    total join

    Recorded table-attribute-join · succeeded

  46. 46

    eligible countries

    Recorded output · succeeded

  47. 47

    unknown countries

    Recorded output · succeeded

  48. 48

    unlocated points

    Recorded output · succeeded

  49. 49

    contributing points

    Recorded output · succeeded

  50. 50

    unknown country points

    Recorded output · succeeded

  51. 51

    unknown weight points

    Recorded output · succeeded

  52. 52

    density

    Recorded output · succeeded

  53. 53

    unknown countries

    Recorded vector-filter · succeeded

  54. 54

    unknown country points

    Recorded vector-spatial-join · succeeded

  55. 55

    unknown weight points

    Recorded vector-filter · succeeded

  56. 56

    unlocated points

    Recorded vector-filter · succeeded

  57. 57

    africa

    Recorded vector-filter · succeeded

  58. 58

    countries

    Recorded source · succeeded

  59. 59

    rural

    Recorded source · succeeded

  60. 60

    rural join

    Recorded table-attribute-join · succeeded

  61. 61

    total

    Recorded source · succeeded

  62. 62

    total join

    Recorded table-attribute-join · succeeded

  63. 63

    africa

    Recorded output · succeeded

  64. 64

    rural join

    Recorded output · succeeded

  65. 65

    total join

    Recorded output · succeeded

  66. 66

    countries src

    Recorded source · succeeded

  67. 67

    power src

    Recorded source · succeeded

  68. 68

    rural src

    Recorded source · succeeded

  69. 69

    total src

    Recorded source · succeeded

  70. 70

    countries src

    Recorded output · succeeded

  71. 71

    rural src

    Recorded output · succeeded

  72. 72

    total src

    Recorded output · succeeded

  73. 73

    power src

    Recorded output · 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 check the saved analysis context, inspect the supplied data, and test the country filter and point selection before building the full heatmap.

  2. get_map_context

    Recorded tool call · completed

  3. get_analysis

    Recorded tool call · completed

  4. list_map_layers

    Recorded tool call · completed

  5. Progress update

    I recovered the workspace. There isn’t a saved brief yet, so I’m recording the exact result we need and then I’ll inspect the four supplied sources to confirm their fields and file bindings.

  6. update_analysis_brief

    Recorded tool call · completed

  7. get_collection

    Recorded tool call · completed

  8. get_collection

    Recorded tool call · completed

  9. get_collection

    Recorded tool call · completed

  10. get_collection

    Recorded tool call · completed

  11. inspect_artifact

    Recorded tool call · failed

  12. inspect_artifact

    Recorded tool call · failed

  13. inspect_artifact

    Recorded tool call · failed

  14. inspect_artifact

    Recorded tool call · failed

  15. Progress update

    The four supplied files are present. Next I’m reading their schemas and a few sample rows so I can use the exact field names rather than guessing.

  16. get_tool_help

    Recorded tool call · completed

  17. list_processors

    Recorded tool call · completed

  18. get_tool_help

    Recorded tool call · completed

  19. list_processors

    Recorded tool call · completed

  20. list_processors

    Recorded tool call · completed

  21. Progress update

    I found a likely processor path: exact attribute join, field calculation, spatial point selection, and the native point-density processor, which already matches the requested Gaussian method. I’m now running a private source-only trial so I can inspect the real columns and sample rows first.

  22. run_trial

    Recorded tool call · completed

  23. Progress update

    I confirmed the key source fields exist, but the WDI preview omitted the newest year by default, so I’m explicitly reading the 2023 columns next and then I’ll test the actual eligibility and point-selection logic.

  24. get_trial_report

    Recorded tool call · completed

  25. inspect_artifact

    Recorded tool call · completed

  26. inspect_artifact

    Recorded tool call · completed

  27. inspect_artifact

    Recorded tool call · completed

  28. inspect_artifact

    Recorded tool call · completed

  29. describe_processors

    Recorded tool call · completed

  30. describe_processors

    Recorded tool call · completed

  31. Progress update

    I confirmed the key boundary and point fields. The next question is practical: how to preserve the exact 2023 WDI values and classify countries without field-name collisions. I’m checking the available processor path before I scale this into the full run.

  32. inspect_artifact

    Recorded tool call · completed

  33. inspect_artifact

    Recorded tool call · completed

  34. inspect_artifact

    Recorded tool call · completed

  35. describe_processors

    Recorded tool call · completed

  36. inspect_artifact

    Recorded tool call · completed

  37. describe_processors

    Recorded tool call · completed

  38. Progress update

    I’ve confirmed the core method path: attribute joins for country eligibility, a strict point-in-polygon selection against original country polygons, and the native point-density processor on the exact EPSG:6933 grid. I’m pulling the final schema details for the WDI tables, then I’ll run one representative eligibility-and-selection trial before the full production run.

  39. inspect_artifact

    Recorded tool call · completed

  40. inspect_artifact

    Recorded tool call · completed

  41. list_processors

    Recorded tool call · completed

  42. Progress update

    I have the exact WDI 2023 field now. The last uncertainty is column naming after the two table joins, because both tables use the same year field name. I’m testing that directly on a short private run so I don’t guess wrong in the production workflow.

  43. Progress update

    I know the heatmap processor itself fits. The main remaining uncertainty is simpler: the two WDI joins use the same year column name, so I’m checking exactly how that joined output is named before I wire the final ratio and selection.

  44. run_trial

    Recorded tool call · completed

  45. assess_trial

    Recorded tool call · completed

  46. Progress update

    The join test succeeded. It answered the collision question: after the second table join the two year fields are named `2023_x` and `2023_y`, and all 52 African country polygons matched both WDI tables. I’m recording that, then I’ll run the full method privately so we can verify the selected points, unknown counts, and final heatmap before I save the production workflow.

  47. get_trial_report

    Recorded tool call · completed

  48. assess_trial

    Recorded tool call · completed

  49. Progress update

    I’ve reduced the remaining risk to one bounded test: run the complete method privately on the full requested grid. That will tell us the actual eligible-country count, contributing-point count, unknown counts, and whether the heatmap raster matches the requested method before I save the final workflow.

  50. run_trial

    Recorded tool call · completed

  51. Progress update

    The full private run proved most of the method: 30 eligible countries, 1,396 contributing points, 212 eligible-country points with unknown MW, 31 unlocated records, and a correctly gridded raster. One output detail still needs correction before I can publish it: the selected-point artifact kept the original point IDs but renamed `benchmark_row_id` during the spatial join. I’m testing a narrower join path that preserves the original point field name exactly.

  52. assess_trial

    Recorded tool call · completed

  53. Progress update

    I’ve isolated the last defect. The heatmap itself is fine; the fix is only the point-selection branch. I’m now testing an aggregate spatial join that should keep the original point fields untouched, including `benchmark_row_id`, while still letting me filter to points inside eligible countries.

  54. run_trial

    Recorded tool call · completed

  55. Progress update

    I’ve got the correction path. The aggregate join keeps the original point field names and reproduces the same 1,396 contributing records, so I’m recording that and then I’ll save the production workflow that uses this corrected branch end to end.

  56. assess_trial

    Recorded tool call · completed

  57. get_analysis

    Recorded tool call · completed

  58. get_tool_help

    Recorded tool call · completed

  59. get_tool_help

    Recorded tool call · completed

  60. Progress update

    I’ve finished method development. The corrected branch now preserves the exact point ID field, so I’m saving the production workflow next and then running it to create the map layer and final deliverables.

  61. get_tool_help

    Recorded tool call · completed

  62. get_tool_help

    Recorded tool call · completed

  63. get_tool_help

    Recorded tool call · completed

  64. get_tool_help

    Recorded tool call · completed

  65. get_tool_help

    Recorded tool call · completed

  66. get_tool_help

    Recorded tool call · completed

  67. get_tool_help

    Recorded tool call · completed

  68. propose_workflow

    Recorded tool call · failed

  69. propose_workflow

    Recorded tool call · completed

  70. Progress update

    I’ve saved the runnable draft. The only remaining gate is to explicitly resolve the earlier point-ID defect against this exact saved workflow. Once that is recorded, I can launch it and inspect the final artifacts.

  71. assess_plan

    Recorded tool call · completed

  72. Progress update

    The draft is now fully supported by evidence. I’m running it to create the final heatmap raster and point-selection artifact on your map, then I’ll inspect the actual outputs before I answer.

  73. execute_workflow

    Recorded tool call · completed

  74. Progress update

    The production run finished in the background. I’m checking the exact output artifacts now, then I’ll bind the heatmap to the map and record the final result with the verified counts.

  75. inspect_workflow_results

    Recorded tool call · completed

  76. Progress update

    I’m verifying the final outputs themselves now: the selected-point artifact, the raster grid and units, and the separate unknown-count branches. Then I’ll bind the raster to the map and record the accepted result.

  77. inspect_workflow_results

    Recorded tool call · failed

  78. get_tool_help

    Recorded tool call · completed

  79. inspect_artifact

    Recorded tool call · completed

  80. get_tool_help

    Recorded tool call · completed

  81. inspect_artifact

    Recorded tool call · completed

  82. Progress update

    I’ve already confirmed the corrected production run. I’m doing the last checks on the final point artifact and raster, then I’ll add the raster layer and lock in the result object.

  83. inspect_workflow_results

    Recorded tool call · failed

  84. inspect_artifact

    Recorded tool call · completed

  85. inspect_artifact

    Recorded tool call · completed

  86. Progress update

    I’ve verified the final two deliverables. The heatmap raster is already bound to the map with a real layer ID, and the selected-point artifact keeps the original `benchmark_row_id`. I’m checking the exact `assess_result` input shape now so I can record the result cleanly with the verified counts.

  87. list_map_layers

    Recorded tool call · completed

  88. get_tool_help

    Recorded tool call · completed

  89. get_tool_help

    Recorded tool call · completed

  90. Progress update

    I have the final layer ID and both final artifact identities. I’m checking how Blue wants the final artifact references encoded so I can submit the accepted result without guessing.

  91. get_analysis

    Recorded tool call · completed

  92. Progress update

    I found the final point artifact reference. I’m pulling the final raster artifact reference and the supporting count artifacts now so the accepted result points to the exact verified items.

  93. get_analysis

    Recorded tool call · completed

  94. Progress update

    I have the final deliverables. I’m refreshing the supporting count evidence for unknown-weight, unknown-country, and unlocated records so the final assessment uses current inspected receipts rather than just the earlier trial summary.

  95. inspect_artifact

    Recorded tool call · completed

  96. inspect_artifact

    Recorded tool call · completed

  97. inspect_artifact

    Recorded tool call · completed

  98. Progress update

    The final deliverables are confirmed. I’m pulling one last supporting receipt for the unlocated and unknown-weight counts, then I’ll record the accepted result with the map layer and the exact item IDs.

  99. inspect_artifact

    Recorded tool call · completed

  100. inspect_artifact

    Recorded tool call · completed

  101. inspect_artifact

    Recorded tool call · completed

  102. Progress update

    I have the finished heatmap and supporting artifacts from the completed run. I’m checking the final result tool and current analysis state, then I’ll record the accepted result and give you the short answer.

  103. Progress update

    I’ve got the finished outputs. I’m refreshing the final inspection receipts now so the accepted result is tied to current artifacts and the live map layer.

  104. inspect_artifact

    Recorded tool call · completed

  105. inspect_artifact

    Recorded tool call · completed

  106. inspect_artifact

    Recorded tool call · completed

  107. inspect_artifact

    Recorded tool call · completed

  108. inspect_artifact

    Recorded tool call · completed

  109. list_map_layers

    Recorded tool call · completed

  110. inspect_artifact

    Recorded tool call · completed

  111. inspect_artifact

    Recorded tool call · completed

  112. Progress update

    I’m resuming from the completed run and pulling the finished inspection receipts so the accepted result points to the exact current artifacts.

  113. Progress update

    The finished outputs are ready. I’m fetching the immutable inspection receipts now for the point set, raster, and the separate unknown/unlocated counts.

  114. inspect_artifact

    Recorded tool call · completed

  115. inspect_artifact

    Recorded tool call · completed

  116. inspect_artifact

    Recorded tool call · completed

  117. inspect_artifact

    Recorded tool call · completed

  118. inspect_artifact

    Recorded tool call · completed

  119. inspect_artifact

    Recorded tool call · completed

  120. Progress update

    I have the final point and raster receipts. I’m opening the retained evidence pages for the eligible-country, unknown-weight, and unlocated summaries so the final counts are tied to current receipts too.

  121. read_evidence

    Recorded tool call · completed

  122. read_evidence

    Recorded tool call · completed

  123. read_evidence

    Recorded tool call · completed

  124. read_evidence

    Recorded tool call · completed

  125. Progress update

    I’ve verified the finished method. I’m refreshing the analysis brief now so the saved notes match the delivered result instead of the earlier work-in-progress checks.

  126. update_analysis_brief

    Recorded tool call · completed

  127. Progress update

    I’ve finished the verification. I’m recording the accepted result now with the exact selected point artifact, the final heatmap raster, and the live map layer binding.

  128. assess_result

    Recorded tool call · failed

  129. Progress update

    The result is ready. Blue wants the acceptance checks written with the exact saved condition text, so I’m correcting that now and resubmitting the same verified evidence.

  130. assess_result

    Recorded tool call · completed

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