Make contour lines of snow accumulation for areas with railway stations in the USA
The question
251255Make contour lines of snow accumulation for areas with railway stations in the USA
Exact submitted task and declared adaptations
Make contour lines of snow accumulation for areas with railway stations in the USA
Task conventions: Use band 1 of the frozen snow raster at the original grid without resampling, smoothing or clipping. Draw the explicit contour levels [5, 10, 20, 40, 80, 160, 320] in inches. These levels are a disclosed evaluation convention, not a requested interval. Use piecewise-linear marching-squares isolines through pixel-center values, low-valued connectivity at ambiguous saddles. Respect the native mask, NoData and nonfinite cells; do not bridge holes or extrapolate at the outside edge. Apply any source scale and offset. NoData means unknown, never zero. Preserve source coverage; levels outside the observed range may have no line. Do not substitute a current raster. Count nonempty requested contour LEVELS, not polyline fragments. The population-count raster, where supplied, is people per original cell; do not label it population density. Overlay the supplied stations original geometries on the same map. Retain every original overlay row, including those outside the raster; disclose their lack of raster coverage. This is a visual spatial comparison; no invented causal correlation or extra buffer is requested.
Deliver an inspectable vector contour artifact and add it to the map with a level/units legend. End with one fenced JSON object containing: count (number of nonempty requested levels), unknown_count (number of masked or nonfinite source pixels), coverage_note, selection: {collectionId,itemId,assetKey}, level_field, feature_count (actual contour feature rows), map_layer_id. Also include overlay: {selection: {collectionId,itemId,assetKey}, map_layer_id, count}, retaining original benchmark_row_id. Explain the source season/year, units, missing coverage, and visual relationship where an overlay is requested.
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 snowfall, 2024\u201325 frozen season",
"edition": "2024-09-30 to 2025-05-20",
"units": {
"band1": "inches"
},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
},
{
"name": "Amtrak railway stations",
"edition": "USDOT BTS frozen GeoBenchX 2025 snapshot",
"units": {},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
}
]Outcome & verification
Independent artifact and delivery checks passed.
- Duration
- 14m 29s
- Recorded Blue tool calls
- 41
- Total tokens
- 1,607,392
- 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
- 7
- Reported count
- 7
- Computation verified
- Yes
- Answer fulfilled
- Yes
Full grading and rubric record
{
"expectedCount": 7,
"actualCount": 7,
"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-source method produce inspectable snowfall contours at the requested inch levels while preserving every station row and explicitly showing unknown raster coverage at station locations?
assess_trial · completed · assessment: sufficient
The full-source trial answered the method question. Whole-raster band 1 statistics reported minimum 0.0 inches, maximum 809.6145629882812 inches, valid_count 510624, and missing_count 1032876 with scale 1 and offset 0. The contour output kept the requested explicit levels and produced nonempty lines at all 7 requested levels, with feature rows carrying contour_id and numeric level in inches. The station sampling output preserved all 1020 original point rows, retained benchmark_row_id, and left 52 sampled snow values null where raster coverage was unknown at the station location.
assess_result · failed · requested assessment: sufficient
I delivered the requested inspectable contour vector and station overlay on the map. The contours use the supplied frozen-season snowfall raster from 2024-09-30 to 2025-05-20, band 1 in inches, and all 7 requested levels are nonempty. The contour artifact has 3396 line rows with level field 'level' in inches. The source raster has 1032876 masked or nonfinite unknown cells out of 1543500 total cells. The station overlay keeps all 1020 original rows and benchmark_row_id, and 52 station rows have unknown raster coverage at their point locations. Visually, stations span both low- and high-snow contour zones, with denser high-value contours concentrated in major mountain and northern snow belts.
assess_result · completed · assessment: sufficient
I delivered the requested inspectable contour vector and station overlay on the map. The contours use the supplied frozen-season snowfall raster from 2024-09-30 to 2025-05-20, band 1 in inches, and all 7 requested levels are nonempty. The contour artifact has 3396 line rows with level field 'level' in inches. The source raster has 1032876 masked or nonfinite unknown cells out of 1543500 total cells. The station overlay keeps all 1020 original rows and benchmark_row_id, and 52 station rows have unknown raster coverage at their point locations. Visually, stations span both low- and high-snow contour zones, with denser high-value contours concentrated in major mountain and northern snow belts.
Recorded workflow
- 01
Snowfall contours
Recorded output · succeeded
- 02
Amtrak stations with snowfall sample
Recorded output · succeeded
- 03
Snowfall raster statistics
Recorded output · succeeded
- 04
Snowfall contour lines
Recorded raster-contours · succeeded
- 05
Supplied snowfall raster
Recorded source · succeeded
- 06
Whole-raster snow statistics
Recorded raster-statistics · succeeded
- 07
Stations with sampled snowfall
Recorded raster-sample · succeeded
- 08
Supplied Amtrak stations
Recorded source · succeeded
- 09
Snowfall contour lines
Recorded raster-contours · succeeded
- 10
Supplied snowfall raster
Recorded source · succeeded
- 11
Whole-raster snow statistics
Recorded raster-statistics · succeeded
- 12
Stations with sampled snowfall
Recorded raster-sample · succeeded
- 13
Supplied Amtrak stations
Recorded source · succeeded
- 14
Whole-raster snow statistics
Recorded output · succeeded
- 15
Whole-raster snow statistics
Recorded output · succeeded
- 16
Snowfall contour lines
Recorded output · succeeded
- 17
Snowfall contour lines
Recorded output · succeeded
- 18
Stations with sampled snowfall
Recorded output · succeeded
- 19
Stations with sampled snowfall
Recorded output · succeeded
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’ll check what analysis state already exists, then look up the exact Blue tools for raster contours, inspection, map layers, and final result recording.
Progress update
I found the core Blue analysis tools. Next I’ll read the retained analysis state, inspect the supplied raster and station source metadata, and discover the exact contour/vector processors before I build the method.
get_analysis
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
describe_processors
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_map_context
Recorded tool call · completed
describe_processors
Recorded tool call · completed
Progress update
I found the contour processor Blue already has. Now I’m checking the exact processor contracts so I can keep the original raster grid, levels, masking behavior, and a separate station overlay that preserves every row.
Progress update
I’ve got the source metadata and the exact contour processor. I’m recording the analysis goal now, with final checks that match your contour rules and the required station overlay.
update_analysis_brief
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
I’ve got enough to test the method directly. I expect the full-source trial to show three key things: the raster’s true data range and missing-cell count, contour lines only at requested levels that actually occur, and a station overlay that keeps every row while marking locations with unknown raster coverage.
run_trial
Recorded tool call · completed
Progress update
The method worked on the full supplied USA data: the raster stats came back, all 7 requested contour levels produced lines, and the station sample kept all 1,020 rows with 52 unknown raster values. I’m recording that trial, then I’ll save the tested production workflow and deliver the verified map layers.
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
assess_trial
Recorded tool call · completed
Progress update
I’ve finished the method check. Next I’m saving the exact tested full-USA computation as the production workflow, with the same fixed raster, same contour levels, and a separate station overlay that keeps every row.
propose_workflow
Recorded tool call · completed
execute_workflow
Recorded tool call · completed
inspect_workflow_results
Recorded tool call · completed
Progress update
The production run finished in the background. I’m inspecting the exact final outputs now so I can bind the right contour artifact, station overlay, and map layers to the accepted result.
Progress update
I already have the finished workflow outputs and map layer IDs. I’m doing the last bounded inspections now so the accepted result uses the exact final contour artifact, the exact station overlay artifact, and the verified counts from this production run.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
wait_for_jobs
Recorded tool call · failed
Progress update
I have the final artifact IDs and map layer IDs. I’m letting the last bounded inspections finish now so the accepted result uses the exact final counts and current field checks from this production run.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
The inspection jobs are finished. I’m fetching the final immutable receipts now: contour fields and preview, raster stats row, station preview, and a sample of the stations with unknown raster coverage.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
get_analysis
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
I’ve finished the current inspections. I’m checking the exact assess_result shape now so I can bind the final contour artifact, the station overlay artifact, and the machine-readable answer object in one accepted result.
get_tool_help
Recorded tool call · completed
Progress update
I’ve got everything needed for the final assessment. I’m refreshing the brief notes one last time so the retained analysis matches the finished evidence, then I’ll record the accepted result with the exact final artifact refs.
update_analysis_brief
Recorded tool call · completed
Progress update
I’ve verified the final outputs against the requested contour rules and the overlay checks. I’m recording the accepted result now with the exact final contour artifact, the exact station overlay artifact, and the map layer IDs already bound on your map.
assess_result
Recorded tool call · failed
Progress update
Blue rejected the assessment because it wants the stored acceptance conditions addressed exactly. I’m correcting that now with the same evidence and the exact required condition list.
assess_result
Recorded tool call · completed