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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 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
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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 9 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.

afffundvenueunlabeled
Direct determination of age in shrimps, crabs, and lobsters
Raouf Kilada, Bernard Sainte‐Marie, Rémy Rochette, Neill Davis, Caroline Vanier, Steven E. Campana
2012· article· en· Canadian Journal of Fisheries and Aquatic Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
110
citations
affvenueunlabeled
Trends in the abundance of marine fishes
Jeffrey A. Hutchings, Cóilín Minto, D. Ricard, Julia K. Baum, Olaf P. Jensen
2010· article· en· Canadian Journal of Fisheries and Aquatic Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
109
citations
afffundvenueunlabeled
Population dynamics of marine fishes at low abundance
David Keith, Jeffrey A. Hutchings
2012· article· en· Canadian Journal of Fisheries and Aquatic Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
107
citations
affunlabeled
A critique of the balanced harvesting approach to fishing
Rainer Froese, Carl J. Walters, Daniel Pauly, Henning Winker, Olaf L. F. Weyl, Nazlı Demirel +2 more
2015· article· en· ICES Journal of Marine Science· Environmental Science
machine prediction:candidate · noneconsensus · none
107
citations
affunlabeled
The global rise of crustacean fisheries
Robert Boenish, Jacob P. Kritzer, Kristin M. Kleisner, Robert S. Steneck, Karl Michael Werner, Wenbin Zhu +6 more
2021· review· en· Frontiers in Ecology and the Environment· Environmental Science
machine prediction:candidate · noneconsensus · none
102
citations
affunlabeled
Can catch share fisheries better track management targets?
Michael C. Melnychuk, Timothy E. Essington, Trevor A. Branch, Selina S. Heppell, Olaf P. Jensen, Jason S. Link +4 more
2011· article· en· Fish and Fisheries· Environmental Science
machine prediction:candidate · noneconsensus · none
101
citations
affunlabeled
Valuing seafood: The Peruvian fisheries sector
Villy Christensen, Santiago de la Puente, Juan Carlos Sueiro, Jeroen Steenbeek, Patrícia Majluf
2013· article· en· Marine Policy· Environmental Science
machine prediction:candidate · noneconsensus · none
101
citations
affvenueaboutunlabeled
Integrating diverse objectives for sustainable fisheries in Canada
Robert L. Stephenson, Melanie G. Wiber, Stacey Paul, Eric Angel, Ashleen J. Benson, Anthony Charles +11 more
2018· article· en· Canadian Journal of Fisheries and Aquatic Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
101
citations
venueno affunlabeled
When do marine reserves increase fishery yield?
Deborah R. Hart
2006· article· en· Canadian Journal of Fisheries and Aquatic Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
100
citations
venueno affno abstractunlabeled
10.1016/0967-0653(95)91106-e
S. T. Szedlmayer, Robert L. Shipp
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
99
citations
venueno affunlabeled
Space oddity: The mission for spatial integration
Aaron M. Berger, Daniel R. Goethel, Patrick D. Lynch, Terrance J. Quinn, Sophie Mormede, Jeremy R. McKenzie +1 more
2017· article· en· Canadian Journal of Fisheries and Aquatic Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
99
citations

How this was built: Screen · Findings · About