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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.

affaffiliation
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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
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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 31 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.

affaboutunlabeled
Marine fish diversity on the Scotian Shelf, Canada
Nancy L. Shackell, Kenneth T. Frank
2003· article· en· Aquatic Conservation Marine and Freshwater Ecosystems· Environmental Science
machine prediction:candidate · noneconsensus · none
31
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)88712-1
William F. Hettler, David S. Peters, David R. Colby, Elisabeth H. Laban
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
31
citations
affno abstractunlabeled
Exploring future scenarios for the global supply chain of tuna
Christian Mullon, Patrice Guillotreau, Eric D. Galbraith, Jeanne Marie Rose Fortilus, Christian Chaboud, Laurent Bopp +2 more
2016· article· en· Deep Sea Research Part II Topical Studies in Oceanography· Environmental Science
machine prediction:candidate · noneconsensus · none
31
citations
venueno affunlabeled
Rebuilding in the face of climate change
Richard J. Bell, Anthony D. Wood, Jonathan A. Hare, David Richardson, John P. Manderson, Timothy J. Miller
2017· article· en· Canadian Journal of Fisheries and Aquatic Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
31
citations
venueno affunlabeled
10.1016/0967-0653(96)80582-l
Mark Tupper, Robert G. Boutilier
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
31
citations
venueno affunlabeled
Optimum sampling levels in discard sampling programs
Lisa Borges, Alain F. Zuur, Emer Rogan
2004· article· en· Canadian Journal of Fisheries and Aquatic Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
31
citations
aboutno affunlabeled
Global Marine Fishing across Space and Time
Andrew K. Carlson, William W. Taylor, Daniel I. Rubenstein, Simon A. Levin, Jianguo Liu
2020· article· en· Sustainability· Environmental Science
machine prediction:candidate · noneconsensus · none
30
citations
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