Create a bivariate map showing the relationship between CO2 emissions per capita and greenhouse gases emissions per capita for 1990 and 2020 across all countries.
The question
438953Create a bivariate map showing the relationship between CO2 emissions per capita and greenhouse gases emissions per capita for 1990 and 2020 across all countries.
Exact submitted task and declared adaptations
Create a bivariate map showing the relationship between CO2 emissions per capita and greenhouse gases emissions per capita for 1990 and 2020 across all countries.
Task conventions: Use all original country features and the frozen OWID CO2 and GHG tables for 1990 and 2020, not current datasets. Join country NAME_EN exactly to CO2 'Country name' and GHG 'Country Name', as in the released reference. Do not fuzzy-match, replace original geometries or drop unmatched features. CO2 uses tonnes CO2 per person; GHG uses tonnes CO2-equivalents per person including land use. Preserve finite negative values and genuine zeros; missing or unmatched values remain unknown. Create two distinct bivariate maps, one per year, using three marginal quantile classes per axis over the same paired-known rows within each year, collapsing ties. Use increasing x=CO2, y=GHG classes with joint code (yClass-1)*effectiveXClasses+xClass; code 0 for either missing value. Equality goes to the upper class. Each actual map needs a two-axis legend with numeric bounds and both units, plus neutral No data. State that per-year breaks differ and that this is a visual association, not causal inference.
Add both year maps and retain their inspectable data artifacts, preserving benchmark_row_id and original geometry. End with one fenced JSON object: {count: number of delivered year maps, unknown_count: total country-year rows missing either variable, coverage_note: string, selection: artifact identity for 1990, panels: [{year: string, count: paired-known features, unknown_count: features missing either variable, selection: {collectionId,itemId,assetKey}, value_field: CO2 numeric field, y_value_field: GHG numeric field, class_field: joint class field, map_layer_id: actual layer ID}]}. Give both 1990 and 2020 panels.
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": "CO2 emissions per capita, OWID frozen historical table",
"edition": "Frozen GeoBenchX OWID snapshot; no current data replacement",
"units": {
"1990": "tonnes CO2 per person",
"2020": "tonnes CO2 per person"
},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
},
{
"name": "Greenhouse gas emissions per capita, OWID frozen historical table",
"edition": "Frozen GeoBenchX OWID snapshot; CO2-equivalent emissions including land use",
"units": {
"1990": "tonnes CO2e per person",
"2020": "tonnes CO2e per person"
},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
}
]Outcome & verification
Map-series boundaries differ from the original geography.
- Duration
- 17m 55s
- Recorded Blue tool calls
- 59
- Total tokens
- 2,855,488
- Model cost
- Not recorded
- Application revision
- d50497ea9084f29c91b05406688f87035df98d8a
- Release
- terra-geobenchx-v1
Recorded final answer
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
- 2
- Reported count
- 2
- Computation verified
- No
- Answer fulfilled
- No
Full grading and rubric record
{
"expectedCount": 2,
"actualCount": 2,
"expectedMetrics": null,
"actualMetrics": null,
"computationCorrect": false,
"answerFulfilled": false,
"adjudication": null,
"qualification": null,
"reasons": [
"Map-series boundaries differ from the original geography."
]
}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 one full-world join-and-classify computation preserve all original country features, keep exact-join unknowns, and produce valid separate bivariate maps for 1990 and 2020 with the required class behavior?
assess_trial · completed · assessment: insufficient
The full-world left joins succeeded and preserved all 251 country features with original geometry and benchmark_row_id. The CO2 exact-name join matched 202 country features and left 49 unmatched; the GHG exact-name join matched 190 country features and left 61 unmatched, which is consistent with retaining unknowns instead of fuzzy matching. After the second join, the year fields were renamed to 1990_x, 2020_x, 1990_y, and 2020_y. The two bivariate nodes failed only because they referenced unsuffixed field names, so this trial did not yet produce the required year maps.
run_trial · completed
Using the retained exact-joined country dataset, do corrected 1990 and 2020 bivariate classifications produce the required full-world year maps with class 0 for unknowns, preserved country geometry, and year-specific quantile legends?
assess_trial · completed · assessment: sufficient
The corrected full-world classification trial succeeded for both years using the retained exact-joined country dataset. Each year output preserved all 251 original country features and benchmark_row_id, kept the joined CO2 and GHG value fields, created a joint class field with class range 0 to 9 plus separate x and y class fields, and reported class 0 as either value missing. The 1990 summary reported pairedCount 184 and missingCount 67 with xBreaks 0.7661452 and 5.6829114 and yBreaks 4.3463097 and 9.6910925. The 2020 summary reported pairedCount 187 and missingCount 64 with xBreaks 1.2527483 and 4.397428 and yBreaks 3.3885367 and 6.7463393. Both summaries recorded quantile classification, upper-bound equality behavior, and the formula (yClass - 1) * xClasses + xClass.
assess_result · failed · requested assessment: sufficient
I delivered two distinct year maps and both are on the map now. Each final artifact retains all 251 original country features, original geometry, and benchmark_row_id. The production workflow used the supplied frozen OWID CO2 and GHG tables with exact left joins from NAME_EN to Country name and Country Name, so unmatched rows stayed in the output as unknown instead of being dropped. The 1990 map has 184 paired-known rows and 67 unknown rows; the 2020 map has 187 paired-known rows and 64 unknown rows. Both year legends record year-specific quantile breaks, both units, and class 0 as either value missing. These maps show visual association, not causal inference.
assess_result · completed · assessment: sufficient
I delivered two distinct year maps and both are on the map now. Each final artifact retains all 251 original country features, original geometry, and benchmark_row_id. The production workflow used the supplied frozen OWID CO2 and GHG tables with exact left joins from NAME_EN to Country name and Country Name, so unmatched rows stayed in the output as unknown instead of being dropped. The 1990 map has 184 paired-known rows and 67 unknown rows; the 2020 map has 187 paired-known rows and 64 unknown rows. Both year legends record year-specific quantile breaks, both units, and class 0 as either value missing. These maps show visual association, not causal inference.
Recorded workflow
- 01
1990 bivariate classes
Recorded vector-bivariate-classify · succeeded
- 02
2020 bivariate classes
Recorded vector-bivariate-classify · succeeded
- 03
Frozen OWID CO2 table
Recorded source · succeeded
- 04
World Bank country boundaries
Recorded source · succeeded
- 05
1990 CO2 and GHG bivariate country map
Recorded output · succeeded
- 06
2020 CO2 and GHG bivariate country map
Recorded output · succeeded
- 07
Frozen OWID GHG table
Recorded source · succeeded
- 08
Join CO2 values
Recorded table-attribute-join · succeeded
- 09
Join GHG values
Recorded table-attribute-join · succeeded
- 10
1990 bivariate classes
Recorded vector-bivariate-classify · succeeded
- 11
2020 bivariate classes
Recorded vector-bivariate-classify · succeeded
- 12
Exact-joined countries
Recorded source · succeeded
- 13
1990 bivariate classes
Recorded output · succeeded
- 14
1990 bivariate classes
Recorded output · succeeded
- 15
2020 bivariate classes
Recorded output · succeeded
- 16
2020 bivariate classes
Recorded output · succeeded
- 17
1990 bivariate classes
Recorded vector-bivariate-classify · failed
- 18
2020 bivariate classes
Recorded vector-bivariate-classify · failed
- 19
Frozen OWID CO2 table
Recorded source · succeeded
- 20
World Bank country boundaries
Recorded source · succeeded
- 21
Frozen OWID GHG table
Recorded source · succeeded
- 22
Join CO2 values
Recorded table-attribute-join · succeeded
- 23
Join GHG values
Recorded table-attribute-join · succeeded
- 24
Join CO2 values
Recorded output · succeeded
- 25
Join GHG values
Recorded output · succeeded
- 26
1990 bivariate classes
Recorded output · skipped
- 27
1990 bivariate classes
Recorded output · skipped
- 28
2020 bivariate classes
Recorded output · skipped
- 29
2020 bivariate classes
Recorded output · skipped
Activity
Recorded actionsRecorded 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.
Progress update
I’m checking the saved analysis context, the frozen input tables, and the available processors first. Then I’ll test the exact join and year-by-year classing on a small private run before saving the full method.
get_collection
Recorded tool call · completed
get_analysis
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get_collection
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get_collection
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get_item
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get_item
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get_item
Recorded tool call · completed
Progress update
I found the three frozen inputs. Next I’m reading their exact item metadata and sample fields so I can preserve the original country geometry and use the required exact name joins.
update_analysis_brief
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
describe_processors
Recorded tool call · completed
describe_processors
Recorded tool call · completed
describe_processors
Recorded tool call · completed
Progress update
I found a direct bivariate-classification processor that already matches several task rules: it classifies paired-known rows only, collapses ties, puts equality in the upper class, keeps unknowns as class 0, preserves geometry, and publishes legend ranges and units. Now I’m checking its exact schema and the exact join processor before I test the full method.
describe_processors
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describe_processors
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get_tool_help
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get_tool_help
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get_tool_help
Recorded tool call · failed
get_tool_help
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get_tool_help
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get_tool_help
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get_tool_help
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get_tool_help
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get_tool_help
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Progress update
I have the exact join and bivariate processors. Next I’m running one private full-world test because this country dataset is small enough to validate the actual joins, unknown handling, and both year maps directly instead of guessing from setup alone.
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
run_trial
Recorded tool call · completed
Progress update
The first full-world test already proved something useful: the exact joins ran, but they renamed the joined year fields to `1990_x/1990_y` and `2020_x/2020_y`. The class step failed only because I pointed at the unsuffixed names. I’m inspecting those retained join outputs now, then I’ll rerun just the corrected classification path.
Progress update
The join evidence is now clear enough to record: all 251 country features were kept, and the only failure was the wrong field name after the second join. I’m logging that as a partial trial, then rerunning only the corrected class step from the retained joined dataset.
assess_trial
Recorded tool call · completed
run_trial
Recorded tool call · completed
Progress update
I’ve now got successful full-world 1990 and 2020 trial maps. I’m doing one last inspection of those tested outputs, then I’ll save the production workflow, run it, add both layers to your map, and verify the exact delivered artifacts before I close this out.
get_trial_report
Recorded tool call · completed
Progress update
The trial method is now tested end to end: exact joins, preserved country geometry, year-specific breaks, and unknown class 0 all worked. I’m turning that tested method into the saved production workflow now, then I’ll execute it and bind both finished layers to your map.
assess_trial
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
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get_tool_help
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get_tool_help
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update_analysis_brief
Recorded tool call · completed
propose_workflow
Recorded tool call · completed
Progress update
The saved production workflow is valid and ready, but Blue wants one more bookkeeping step: I need to tie the earlier join-field mistake to the successful corrected trial for this exact proposal. Then I can launch the workflow without rebuilding anything.
get_analysis
Recorded tool call · completed
assess_plan
Recorded tool call · completed
Progress update
The corrected plan is now supported. I’m starting the saved workflow from the original frozen inputs, and once it finishes I’ll inspect the exact year outputs, add both map layers, and return the final checked result.
execute_workflow
Recorded tool call · completed
Progress update
The production workflow finished. I’m inspecting the exact delivered year outputs now so I can bind the real map layers, verify the final artifact identities, and return the checked result object.
inspect_workflow_results
Recorded tool call · completed
Progress update
I have the finished artifact identities and real layer IDs. I’m doing one focused inspection on each year map now to verify the retained fields, class fields, and legend details before I record the final result.
inspect_artifact
Recorded tool call · completed
inspect_artifact
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inspect_artifact
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inspect_artifact
Recorded tool call · completed
Progress update
The final outputs are already on your map. I’m pulling one bounded inspection from each year map and its summary so I can record the checked result object with the exact artifact identities and layer IDs.
inspect_artifact
Recorded tool call · completed
inspect_artifact
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inspect_artifact
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inspect_artifact
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list_map_layers
Recorded tool call · completed
inspect_workflow_results
Recorded tool call · completed
Progress update
I’ve verified the delivered year maps, class fields, paired-known counts, unknown counts, and live layer IDs. I’m pulling the final GHG join receipt too so the final assessment cites the exact-name join evidence from the production run, not just the trial.
Progress update
I’ve got everything needed for the final check: two delivered artifacts, both live layer IDs, preserved 251-feature coverage, exact join evidence, and the year-specific legend breaks. I’m recording the final selected result now.
assess_result
Recorded tool call · failed
Progress update
Blue wants the acceptance checks listed exactly as recorded, so I’m restating the same verified evidence against each required final condition and submitting the final result again.
assess_result
Recorded tool call · completed