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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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Hydrology and Watershed Management Studies
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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.

4,502 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
4,502 works in the cohort · of 4,299,418page 6 of 91

Labels cover 5 of 4,502 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 4,502 of 4,502 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.

117
citations
fundno affunlabeled
Critical Nodes in River Networks
Shiblu Sarker, Alexander Veremyev, Vladimir Boginski, Arvind Singh
2019· article· en· Scientific Reports· Environmental Science
machine prediction:candidate · noneconsensus · none
115
citations
aboutno affunlabeled
Soil piping and catchment response
J. A. A. Jones
2010· article· en· Hydrological Processes· Environmental Science
machine prediction:candidate · noneconsensus · none
113
citations
aboutno affunlabeled
First steps of a Lake Model Intercomparison Project : LakeMIP
Victor Stepanenko, Stéphane Goyette, Andrey Martynov, Marjorie Perroud, Xing Fang, Dmitrii Mironov
2024· article· en· Archive ouverte UNIGE (University of Geneva)· Environmental Science
machine prediction:candidate · noneconsensus · none
109
citations
afffundaboutunlabeled
The practice of DEM stream burning revisited
John B. Lindsay
2015· article· en· Earth Surface Processes and Landforms· Environmental Science
machine prediction:candidate · noneconsensus · none
109
citations
venueaboutno affunlabeled
Climate Change Impacts on the Hydrology of the Great Lakes-St. Lawrence System
Linda Mortsch, Henry Hengeveld, Murray Lister, Lisa Wenger, Brent M. Lofgren, Frank H. Quinn +1 more
2000· article· en· Canadian Water Resources Journal / Revue canadienne des ressources hydriques· Environmental Science
machine prediction:candidate · noneconsensus · none
105
citations

How this was built: Screen · Findings · About