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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.

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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 and fisheries research
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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.

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

5,649 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.
5,649 works in the cohort · of 4,299,418page 82 of 113

Labels cover 6 of 5,649 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 5,649 of 5,649 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.

venueno affno abstractunlabeled
10.1016/s0967-0653(97)88138-0
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
fundno affunlabeled
Simple solutions to complex problems in fisheries
Matthew G. Burgess
2014· dissertation· en· University of Minnesota Digital Conservancy (University of Minnesota)· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)85175-7
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
Checklist of fishes from the Saint Pierre and Miquelon archipelago
Gaëlle Simian, Daniel P. Abraham, Nicolas Bailly, Philippe Béarez, Frank Urtizbéréa, Axelle Perrot +6 more
2022· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Fish Stocks
Donna Dimarchopoulou, Athanassios C. Tsikliras, Rainer Froese, Daniel Pauly
2021· book-chapter· pt· Elsevier eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Marine and Freshwater Miscellanea II
Daniel Pauly, Valentina Ruiz-Leotaud
2020· article· en· cIRcle (University of British Columbia)· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The value of bottom trawling in Europe
Katherine D. Millage, Juan Mayorga, Sara Orofino, Trisha B. Atwood, Alan M. Friedlander, Louise Teh +3 more
2025· preprint· en· Ocean & Coastal Management· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)88037-4
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)86620-3
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
Small scale fisheries in a warming ocean
Léa Monnier, Didier Gascuel, Juan José Alava, William W. L. Cheung, María José Barragán, Jorge L. Ramírez +4 more
2020· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Net Loss: The Costs of Bottom Trawling in the Gulf of Alaska
Jonathan Warrenchuk, Jamie Karnik, Brianne Mecum, Ben Enticknap, Susan Murray
2022· report· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/0967-0653(96)86790-1
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)86909-8
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affaboutunlabeled
Monitoring fish movement using an ADCP
Ranjan Patro, Len Zedel, Cristina Spanu-Tollefsen
2000· article· en· The Journal of the Acoustical Society of America· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/0967-0653(95)99574-b
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
venueno affno abstractunlabeled
10.1016/0967-0653(96)80632-6
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(98)80689-3
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)80416-4
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
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