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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.

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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
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.

4,988 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.
4,988 works in the cohort · of 4,299,418page 87 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.

affvenueno abstractunlabeled
“Light” and “Mild” Cigarettes
Andrew Pipe
2005· editorial· en· Canadian Journal of Public Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Retail Tobacco Display Bans
Ian Irvine, Hai V. Nguyen
2014· preprint· en· RePEc: Research Papers in Economics· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0246-1072(17)75192-9
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affunlabeled
Tabaco y mujer: patología específica y salud reproductiva
E.M. Sáez Cerezal, E. Pelayo Villanueva, A. Garicano Viñarás
2008· article· en· Acta ginecológica: Revista de ginecología, obstetricia y reproducción humana· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Smokers are a dying breed.
Shelley Martin
2003· article· en· Europe PMC (PubMed Central)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1155-195x(03)00071-9
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Uncovering electronic cigarette shops 'retail kinship' strategies
Michael Marck, Séan Ennis, Barbara Caemmerer
2017· book-chapter· en· Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Perceived Quality of Life Among Smokers in Smoking Cessation Therapy.
Ivana T. Croghan, Jeff A. Sloan, R. Douglas Hurt, Gary A. Croghan, Shaker R. Dakhil, Paul J. Novotny +4 more
2005· article· en· Journal of the Society for Integrative Oncology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Pulse: Smokers are a dying breed
Shelley Martin
2003· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1155-195x(20)30156-0
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
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How this was built: Screen · Findings · About