Research/Terra/ 977524
Task evidence / spatial-analysis

Fertility comparison by income group

FailComputational taskUnpublished draft
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The question

977524
Compare fertility rates between high-income and low-income nations
Exact submitted task and declared adaptations
Compare fertility rates between high-income and low-income nations

Task conventions: Use supplied INCOME_GRP values: combine '1. High income: OECD' and '2. High income: nonOECD' as high income; '5. Low income' is low income. Exclude other/unknown income groups. Compare unweighted country means of 2022 SP.DYN.TFRT.IN fertility in births per woman, one observation per supplied country feature. This is the frozen classification, not today's classification or an inferred GDP threshold. Match ISO_A3 to Country Code. Missing fertility is unknown, not zero; omit it from the means and report it. Maps are optional.



Produce an inspectable contributing-country artifact containing both income groups, INCOME_GRP and the 2022 fertility field, retaining original geometry and benchmark_row_id. End with one fenced JSON object: {count: total contributing countries in both groups with known fertility, unknown_count: eligible countries missing fertility, coverage_note: string, selection: {collectionId, itemId, assetKey}, metrics: {high_income: number, low_income: number}, value_field: name_of_fertility_column_in_selection}. Explain the comparison and units in prose.

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": "World Bank country boundaries",
    "edition": "GeoBenchX harmonized names",
    "units": {},
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  },
  {
    "name": "Fertility rate",
    "edition": "Frozen WDI; use 2022",
    "units": {
      "2022": "births per woman"
    },
    "collectionId": "blue-generated--[resource id withheld]",
    "itemId": "[resource id withheld]",
    "assetKey": "data"
  }
]

Outcome & verification

Selected feature membership differs from the independent answer.

Duration
14m 27s
Recorded Blue tool calls
44
Total tokens
2,849,758
Model cost
Not recorded
Application revision
d50497ea9084f29c91b05406688f87035df98d8a
Release
terra-geobenchx-v1

Recorded final answer

Low-income countries had much higher fertility in the frozen 2022 comparison: **4.11 births per woman** versus **1.60** for **high-income** countries (combining the two supplied high-income groups, one observation per supplied country feature). **Limitation:** 30 eligible country features had unknown 2022 fertility, so the means use **105** contributing features and omit those unknowns. **Next action:** You can inspect the attached country layer to see the contributing features and the unknown cases. Sources: **Benchmark fixture · World Bank country boundaries** and **Benchmark fixture · Fertility rate** (Blue-produced frozen inputs; retrieved **2026-10-07**; source revision not provided). ### Limitations - Thirty eligible countries in the requested income groups have unknown 2022 fertility; they are omitted from the means. - Thirty eligible countries have unknown 2022 fertility and remain null in this selection; they are omitted from the comparison means. - The selected artifact keeps extra source fields beyond the minimum requested inspection fields. - Thirty eligible countries have unknown 2022 fertility and are omitted from the means. - Other or unknown income groups are excluded from this requested comparison. - Other or unknown income groups are excluded from this comparison by request. - The output keeps extra joined source fields in addition to the requested inspection fields.

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
105
Reported count
105
Computation verified
No
Answer fulfilled
No
Full grading and rubric record
{
  "expectedCount": 105,
  "actualCount": 105,
  "expectedMetrics": {
    "high_income": 1.5981683323963036,
    "low_income": 4.113189189189191
  },
  "actualMetrics": {
    "low_income": 4.113189189189189,
    "high_income": 1.5981683323963034
  },
  "computationCorrect": false,
  "answerFulfilled": false,
  "adjudication": null,
  "qualification": null,
  "reasons": [
    "Selected feature membership differs from the independent answer."
  ]
}

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 are the exact schema fields needed to join the supplied country features to the frozen fertility table and keep the requested identity fields?

assess_trial · completed · assessment: sufficient

The source inspection confirmed the supplied country boundaries contain ISO_A3, INCOME_GRP, benchmark_row_id, and geometry for 251 country features. The supplied frozen fertility table contains Country Code and a numeric 2022 field in births per woman across 266 rows, including non-country aggregates. This is sufficient to define the exact join keys and requested value field for the next trial.

run_trial · completed

Does the exact ISO_A3 to Country Code join produce the requested eligible country artifact and enough evidence to compute the frozen 2022 high-income versus low-income fertility comparison?

assess_trial · completed · assessment: sufficient

The tested ISO_A3 to Country Code left join produced the requested eligible-country artifact and preserved one row per supplied eligible country feature. Filtering to the supplied income groups kept 135 country features across '1. High income: OECD', '2. High income: nonOECD', and '5. Low income'. The joined 2022 fertility field remained null for 30 eligible countries. Grouped results showed 35 known values in OECD high income with mean 1.4915927600842473, 33 known values in nonOECD high income with mean 1.7112030303030301, and 37 known values in low income with mean 4.113189189189189. Combining the two high-income subgroups by contributing-country counts gives a high-income mean of 1.5981683323963035 births per woman. Total contributing countries are 105 and eligible unknowns are 30.

assess_result · failed · requested assessment: sufficient

The final selected country artifact contains 135 eligible supplied country features in the requested income groups. It retains geometry and benchmark_row_id, includes INCOME_GRP and the joined 2022 fertility field, and keeps 30 unknown fertility values as null rather than zero. The selected artifact is bound to the current map as 'Eligible countries with joined 2022 fertility'.

assess_result · completed · assessment: sufficient

The final selected country artifact contains 135 eligible supplied country features in the requested income groups. It retains geometry and benchmark_row_id, includes INCOME_GRP and the joined 2022 fertility field, and keeps 30 unknown fertility values as null rather than zero.

assess_result · failed · requested assessment: sufficient

The final comparison is supported. The selected country artifact contains 135 eligible supplied country features in the requested income groups, with 105 known 2022 fertility values and 30 unknowns. The final summary table shows subgroup means of 1.4915927600842473 for '1. High income: OECD', 1.7112030303030301 for '2. High income: nonOECD', and 4.113189189189189 for '5. Low income'. Combining the two high-income subgroups by contributing-country counts gives a high-income mean of 1.5981683323963035 births per woman. Low-income countries therefore have the higher mean fertility in the frozen 2022 comparison.

assess_result · completed · assessment: sufficient

The final comparison is supported. The join used ISO_A3 matched to Country Code in the final workflow. The selected country artifact contains 135 eligible supplied country features, with benchmark_row_id distinctCount 135, so the comparison keeps one observation per supplied country feature. The final summary table shows subgroup means of 1.4915927600842473 for '1. High income: OECD', 1.7112030303030301 for '2. High income: nonOECD', and 4.113189189189189 for '5. Low income'. Combining the two high-income subgroups by contributing-country counts 35 and 33 gives a high-income mean of 1.5981683323963035 births per woman. Low-income countries therefore have the higher mean fertility in the frozen 2022 comparison.

Recorded workflow

  1. 01

    countries

    Recorded source · succeeded

  2. 02

    Eligible countries with joined 2022 fertility

    Recorded output · succeeded

  3. 03

    Income-group fertility summary

    Recorded output · succeeded

  4. 04

    eligible countries

    Recorded vector-filter · succeeded

  5. 05

    fertility

    Recorded source · succeeded

  6. 06

    group stats

    Recorded table-group-statistics · succeeded

  7. 07

    join fertility

    Recorded table-attribute-join · succeeded

  8. 08

    countries

    Recorded source · succeeded

  9. 09

    eligible countries

    Recorded vector-filter · succeeded

  10. 10

    fertility

    Recorded source · succeeded

  11. 11

    group stats

    Recorded table-group-statistics · succeeded

  12. 12

    join fertility

    Recorded table-attribute-join · succeeded

  13. 13

    eligible countries

    Recorded output · succeeded

  14. 14

    group stats

    Recorded output · succeeded

  15. 15

    countries

    Recorded source · succeeded

  16. 16

    fertility

    Recorded source · succeeded

  17. 17

    countries

    Recorded output · succeeded

  18. 18

    fertility

    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 inspect the supplied sources, test the country-to-fertility join on the frozen 2022 data, then produce one inspectable country layer and the two unweighted group means.

  2. get_analysis

    Recorded tool call · completed

  3. Progress update

    I’ve started the analysis record. Next I’m checking the exact field names and the available join/summary processors so I can build the frozen 2022 country comparison without guessing columns.

  4. get_collection

    Recorded tool call · completed

  5. get_collection

    Recorded tool call · completed

  6. list_processors

    Recorded tool call · completed

  7. describe_processors

    Recorded tool call · completed

  8. list_processors

    Recorded tool call · completed

  9. inspect_artifact

    Recorded tool call · failed

  10. inspect_artifact

    Recorded tool call · failed

  11. Progress update

    I found the core processors: a key join, a vector filter, and grouped statistics. The next step is a small private source test so I can confirm the exact field names and join coverage before I save the final workflow.

  12. update_analysis_brief

    Recorded tool call · completed

  13. get_tool_help

    Recorded tool call · completed

  14. get_tool_help

    Recorded tool call · completed

  15. Progress update

    I have the workflow pieces. I’m now running a tiny private source inspection to confirm the actual field names before I lock the join and the final artifact schema.

  16. run_trial

    Recorded tool call · completed

  17. Progress update

    The source test succeeded. I confirmed the country file has ISO_A3, INCOME_GRP, benchmark_row_id, and geometry. I still need one quick deeper inspection of the fertility table because the first summary omitted a few columns, including the likely 2022 field. Then I can lock the final join and counts.

  18. get_trial_report

    Recorded tool call · completed

  19. inspect_artifact

    Recorded tool call · completed

  20. inspect_artifact

    Recorded tool call · completed

  21. Progress update

    I confirmed the country schema. The earlier fertility inspection failed because I asked for an unconfirmed field set. I’m correcting that now with a narrower read of the likely 2022 column, then I’ll test the actual join and counts.

  22. inspect_artifact

    Recorded tool call · completed

  23. Progress update

    The corrected fertility inspection finished. I’m reading that exact receipt now, then I’ll run one private join test to confirm the filtered country counts, missing values, and group means before saving the final workflow.

  24. assess_trial

    Recorded tool call · completed

  25. Progress update

    I’ve confirmed the 2022 field exists. Next I’m running one full-scope private test of the exact join and filters, so the saved workflow matches a computation I already inspected.

  26. get_tool_help

    Recorded tool call · completed

  27. get_tool_help

    Recorded tool call · completed

  28. get_tool_help

    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. get_tool_help

    Recorded tool call · completed

  33. get_tool_help

    Recorded tool call · completed

  34. run_trial

    Recorded tool call · completed

  35. get_trial_report

    Recorded tool call · completed

  36. Progress update

    The full-scope test succeeded. It produced 135 eligible country features, 105 with known 2022 fertility and 30 unknown. I’m saving that exact tested method as the production workflow now, then I’ll run and inspect the final artifact before I give you the comparison.

  37. assess_trial

    Recorded tool call · completed

  38. Progress update

    I’ve finished the method test and recorded it as sufficient. Now I’m saving the exact tested computation as a proposal so I can execute and verify the final selected artifacts, not just the private trial.

  39. propose_workflow

    Recorded tool call · completed

  40. execute_workflow

    Recorded tool call · completed

  41. Progress update

    The saved workflow has finished. I’m inspecting the final outputs now so I can attach the exact selected country artifact and the final comparison to the result.

  42. inspect_workflow_results

    Recorded tool call · completed

  43. Progress update

    I have the final workflow receipts. I’m doing the last bounded checks on the selected country layer and the summary table now, including the summary output, before I lock the final answer object.

  44. inspect_artifact

    Recorded tool call · completed

  45. inspect_artifact

    Recorded tool call · completed

  46. inspect_artifact

    Recorded tool call · completed

  47. inspect_artifact

    Recorded tool call · completed

  48. inspect_artifact

    Recorded tool call · completed

  49. Progress update

    The final inspections are ready. I’m reading those exact receipts now, then I’ll record the final result with the selected country layer and the comparison metrics attached.

  50. get_analysis

    Recorded tool call · completed

  51. Progress update

    I’ve verified the final selected country layer and the summary table. I’m refreshing the saved brief notes so the final handoff matches the evidence, then I’ll record the accepted result object.

  52. get_tool_help

    Recorded tool call · completed

  53. update_analysis_brief

    Recorded tool call · completed

  54. Progress update

    I refreshed the brief notes from the final evidence. That changed the saved plan metadata, so I’m revalidating the exact retained proposal before I record the final result.

  55. revise_workflow

    Recorded tool call · completed

  56. Progress update

    I’ve finished the output checks. I’m recording the inspected country layer first, then the comparison result with the final answer object attached.

  57. assess_result

    Recorded tool call · failed

  58. Progress update

    The first assessment rejected my custom wording. I’m correcting it to use the exact recorded acceptance conditions, then I’ll finalize the comparison result the same way.

  59. assess_result

    Recorded tool call · completed

  60. assess_result

    Recorded tool call · failed

  61. Progress update

    The comparison assessment also wants the exact recorded condition list. I’m resubmitting it with those exact five conditions, while keeping the join and unweighted-mean checks in the findings.

  62. assess_result

    Recorded tool call · completed

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