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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Soil erosion and sediment transport
Retraction
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,104 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,104 works in the cohort · of 4,299,418page 19 of 23

Labels cover 1 of 1,104 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,104 of 1,104 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Sediment Transport
2024· other· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian Land Use
Carol E. Bray
2017· book· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Hydrotecture
Nicholas Pangallo
2011· dissertation· en· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
L'analyse des sédiments lacustres
Pierre Francus, David Fortin
2021· report· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Eremaeus kananaskis Behan-Pelletier 1993
2019· article· en· Zenodo (CERN European Organization for Nuclear Research)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(98)81211-8
2000· article· en· Time to knit· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Front Matter
2003· paratext· en· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Red River Drainage Basin
2005· report· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Watersheds
2010· report· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundvenueno affunlabeled
Streamline Article Index 1996-2013
Robin C. Pike
2021· article· en· Confluence Journal of Watershed Science and Management· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About