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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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Smoking Behavior and Cessation
Retraction
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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.

4,988 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.
4,988 works in the cohort · of 4,299,418page 25 of 100

Labels cover 24 of 4,988 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 4,988 of 4,988 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.

afffundunlabeled
Gender Differences in Smoking Behaviour and Cessation
Iris Torchalla, Chizimuzo T.C. Okoli, Natalie Hemsing, Lorraine Greaves
2011· article· en· The Journal of Smoking Cessation· Medicine
machine prediction:candidate · noneconsensus · none
32
citations
aboutno affunlabeled
Cartoon Characters as Tobacco Warning Labels
Sonia A. Duffy, Dee Burton
2000· article· en· Archives of Pediatrics and Adolescent Medicine· Medicine
machine prediction:candidate · noneconsensus · none
31
citations

How this was built: Screen · Findings · About