MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Marine and fisheries research
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

5,649 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
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 6 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.

affno abstractunlabeled
Climate change increases the risk of fisheries conflict
Elizabeth Mendenhall, Cullen S. Hendrix, Elizabeth Nyman, PM Roberts, John Robison Hoopes, James R. Watson +2 more
2020· article· en· Marine Policy· Environmental Science
machine prediction:candidate · noneconsensus · none
149
citations
affunlabeled
Development of the EcoQO for the North Sea fish community
Simon P. R. Greenstreet, S.I. Rogers, Jake Rice, G.J. Piet, Emma J. Guirey, Helen M. Fraser +1 more
2010· article· en· ICES Journal of Marine Science· Environmental Science
machine prediction:candidate · noneconsensus · none
143
citations
afffundvenueunlabeled
Copepod production drives recruitment in a marine fish
Martín Castonguay, Stéphane Plourde, Dominique Robert, Jeffrey A. Runge, Louis Fortier
2008· article· en· Canadian Journal of Fisheries and Aquatic Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
143
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)85809-7
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
143
citations
fundno affunlabeled
Variable larval growth in a coral reef fish
SP Searcy, Su Sponaugle
2000· article· en· Marine Ecology Progress Series· Environmental Science
machine prediction:candidate · noneconsensus · none
142
citations
affunlabeled
When does fishing forage species affect their predators?
Ray Hilborn, Ricardo O. Amoroso, Eugenia Bogazzi, Olaf P. Jensen, Ana M. Parma, Cody Szuwalski +1 more
2017· article· en· Fisheries Research· Environmental Science
machine prediction:candidate · noneconsensus · none
138
citations
venueno affno abstractunlabeled
10.1016/0967-0653(96)90741-3
K.R. Dyer, Robert J. Orth
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
138
citations

How this was built: Screen · Findings · About