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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
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 14 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 affunlabeled
10.1016/0967-0653(95)90973-3
Luiz R. Barbieri, E ChittendenMark, Susan K. Lowerre Barbieri
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
74
citations
affno abstractunlabeled
The management of high seas fisheries
Trond Bjørndal, Veijo Kaitala, Marko Lindroos, Gordon R. Munro
2000· article· en· Annals of Operations Research· Environmental Science
machine prediction:candidate · noneconsensus · none
74
citations
affaboutunlabeled
EDITORIAL: Toward Darwinian fisheries management
Erin S. Dunlop, Katja Enberg, Christian Jørgensen, Mikko Heino
2009· editorial· en· Evolutionary Applications· Environmental Science
machine prediction:candidate · noneconsensus · none
70
citations
venueno affunlabeled
10.1016/s0967-0653(97)83031-1
Fu‐Shiang Chia, Glenys Gibson, Pei‐Yuan Qian
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
70
citations

How this was built: Screen · Findings · About