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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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Marine animal studies overview
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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.

4,737 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.
4,737 works in the cohort · of 4,299,418page 17 of 95

Labels cover 4 of 4,737 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 4,737 of 4,737 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.

affunlabeled
Remote biopsy darting and marking of polar bears
Anthony M. Pagano, Elizabeth Peacock, Melissa A. McKinney
2013· article· en· Marine Mammal Science· Environmental Science
machine prediction:candidate · noneconsensus · none
45
citations
fundno affno abstractunlabeled
Fractal analysis of narwhal space use patterns
Kristin L. Laidre, Mads Peter Heide‐Jørgensen, Miles L. Logsdon, Roderick C. Hobbs, Runé Dietz, Glenn R. VanBlaricom
2004· article· en· Zoology· Environmental Science
machine prediction:candidate · noneconsensus · none
45
citations
afffundunlabeled
Deep-ocean predation by a high Arctic cetacean
K. L. Laidre, Mads Peter Heide‐Jørgensen, Ole A Jørgensen, Margaret A. Treble
2004· article· en· ICES Journal of Marine Science· Environmental Science
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
Mercury and cortisol in Western Hudson Bay polar bear hair
Thea Bechshøft, Andrew E. Derocher, Evan S. Richardson, Patrick Mislan, Nicholas J. Lunn, Christian Sonne +3 more
2015· article· en· Ecotoxicology· Environmental Science
machine prediction:candidate · noneconsensus · none
44
citations
venueno affunlabeled
10.1016/s0967-0653(97)80360-2
Lowell W. Fritz, Richard C. Ferrero, Ronald J. Berg
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
44
citations
affunlabeled
Safeguarding human–wildlife cooperation
Jessica E. M. van der Wal, Claire N. Spottiswoode, Natalie Uomini, Maurício Cantor, Fábio G. Daura‐Jorge, Anap I. Afan +37 more
2022· review· en· Conservation Letters· Environmental Science
machine prediction:candidate · noneconsensus · none
43
citations

How this was built: Screen · Findings · About