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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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Toxic Organic Pollutants Impact
Retraction
Abstract
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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
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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.

4,082 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.
4,082 works in the cohort · of 4,299,418page 64 of 82

Labels cover 7 of 4,082 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 4,082 of 4,082 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.

afffundno abstractunlabeled
Robust Risk Management via Multi-marginal Optimal Transport
Hamza Ennaji, Quentin Mérigot, Luca Nenna, Brendan Pass
2024· article· en· Journal of Optimization Theory and Applications· Environmental Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Multiple lines of evidence risk assessment of american robins exposed to polychlorinated dibenzofurans (PCDFS) and polychlorinated dibenzo-<i>P</i>-dioxins (PCDDS) in the tittabawassee river floodplain, Midland, Michigan, Usa
Dustin L. Tazelaar, Timothy B. Fredricks, Rita M. Seston, Sarah J. Coefield, Patrick W. Bradley, Shaun A. Roark +5 more
2013· article· en· Environmental Toxicology and Chemistry· Environmental Science
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Persistent Organic Pollutants
Peter S. Ross, Paul B. C. Grant
2008· other· en· Encyclopedia of Quantitative Risk Analysis and Assessment· Environmental Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Incidence of jaw lesions and activity and gene expression of hepatic P4501A enzymes in mink (<i>Mustela vison</i>) exposed to dietary 2,3,7,8-tetrachlorodibenzo-<i>p</i>-dioxin, 2,3,7,8-tetrachlorodibenzofuran, and 2,3,4,7,8-pentachlorodibenzofuran
Steven J. Bursian, Jeremy N. Moore, John L. Newsted, Jane E. Link, Scott D. Fitzgerald, Nora M. Bello +7 more
2012· article· en· Environmental Toxicology and Chemistry· Environmental Science
machine prediction:candidate · noneconsensus · none
3
citations

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