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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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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.

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 66 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
10.1016/0967-0653(96)80548-f
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
5
citations
affno abstractunlabeled
Coping with steep exploitation rates in an open access fishery
Mehrnaz Ghanbarzadeh, Abdulrahman Ben‐Hasan, Ali Salarpouri, Carl J. Walters, Ehsan Kamrani, Mohammad Sharif Ranjbar
2021· article· en· Ocean & Coastal Management· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Operationalizing climate risk in a global warming hotspot
Daniel G. Boyce, Derek P. Tittensor, Susanna Fuller, Stephanie Henson, Kristen Kaschner, Gabriel Reygondeau +5 more
2022· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
affaboutunlabeled
Fish Behaviour in Exploited Ecosystems
Stephen J. Walsh, Åsmund Bjordal
2004· article· en· ICES Journal of Marine Science· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
The Future of Marine Animal Populations
Boris Worm, Heike K. Lotze, Ian D. Jonsen, Catherine Muir
2010· other· en· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Sidney Holt (1926–2019)
Daniel Pauly
2020· article· en· Science· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Risks of Introductions of Marine Fishes: Reply to Briggs
Walter R. Courtenay, Bruce B. Collette, Timothy E. Essington, Ray Hilborn, James W. Orr, Daniel Pauly +2 more
2009· article· en· Fisheries· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
affaboutunlabeled
Trends in Pacific Canadian groundfish stock status
Sean C. Anderson, Brendan Connors, Philina A. English, Robyn E. Forrest, Rowan Haigh, Kendra R. Holt
2021· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
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