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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
Retraction
Abstract
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Study design
Label agreement
Label status

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
Evidence
Language
Type
Citations
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 64 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.

aboutno affunlabeled
Conference listing
2004· article· en· Hydrological Processes· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
2015_PR_data.tab
Saulo Castro, Arturo Sánchez‐Azofeifa
2020· dataset· en· Harvard Dataverse· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
10.51847/v6ex8vKd9H
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Préface
2020· book-chapter· fr· Industrias Culturais (Universidade de Coimbra)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
29: Superstar Dark Waters (with Justine Smith)
2021· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Methods to evaluate floods on a burned watershed
A. Woodruff Miller, E. James Nelson
2011· article· en· International Journal of Safety and Security Engineering· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Optimization of a catalytic naphtha reformer
2001· other· en· Library and Archives Canada (Government of Canada)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Conference listing
2002· article· en· Hydrological Processes· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Habitat Pre-Trained Models and Kernel Metadata
Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko
2021· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Old Yukon: Tales, Trails, and Trials
2023· article· en· Project Muse (Johns Hopkins University)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Water dynamics in Europe due to climate change
Sara Šariri
2018· dissertation· hr· Repository of the Faculty of Science, University of Zagreb· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Case Studies
Vijay P. Singh, Rajendra Singh, Pranesh Kumar Paul, Deepak Singh Bisht, Srishti Gaur
2024· book-chapter· en· Water science and technology library· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About