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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 21 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.

affvenueunlabeled
Ecosystem classification and mapping of the Laurentian Great Lakes
Catherine M. Riseng, Kevin E. Wehrly, Li Wang, Edward S. Rutherford, James E. McKenna, Lucinda B. Johnson +5 more
2017· article· en· Canadian Journal of Fisheries and Aquatic Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
32
citations
venueaboutno affunlabeled
Sensitivity of Hydrologic Systems to Climate Change
Ivan Muzik
2001· article· en· Canadian Water Resources Journal / Revue canadienne des ressources hydriques· Environmental Science
machine prediction:candidate · noneconsensus · none
32
citations
afffundaboutunlabeled
Streamflow input to Lake Athabasca, Canada
Kabir Rasouli, M. A. Hernández-Henr amp iacute quez, Stephen J. Déry
2013· article· en· Hydrology and earth system sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
32
citations
afffundunlabeled
Flexible vector-based spatial configurations in land models
Shervan Gharari, Martyn Clark, Naoki Mizukami, Wouter Knoben, Jefferson S. Wong, Alain Pietroniro
2020· article· en· Hydrology and earth system sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Uncertainty in model estimates of global groundwater depth
Robert Reinecke, Sebastian Gnann, Lina Stein, Marc F. P. Bierkens, Inge de Graaf, Tom Gleeson +5 more
2024· article· en· Environmental Research Letters· Environmental Science
machine prediction:candidate · noneconsensus · none
30
citations
affunlabeled
Ecohydrological flow networks in the subsurface
Lawrence E. Band, Jeffrey J. McDonnell, J. M. Duncan, Ana P. Barros, Adrian Bejan, Tim Burt +10 more
2014· article· en· Ecohydrology· Environmental Science
machine prediction:candidate · noneconsensus · none
30
citations

How this was built: Screen · Findings · About