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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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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.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,654 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.
2,654 works in the cohort · of 4,299,418page 42 of 54

Labels cover 27 of 2,654 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 2,654 of 2,654 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.

aboutno affunlabeled
Global variation in patterns of care and time to initial treatment for breast, cervical, and ovarian cancer from 2015 to 2018 (VENUSCANCER): a secondary analysis of individual records for 275 792 women from 103 population-based cancer registries in 39 countries and territories
Claudia Allemani, Pamela Minicozzi, Bożena M Morawski, Carlos Anselmo Lima, Damien Bennett, Donsuk Pongnikorn +14 more
2025· article· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Rewriting the book on whiplash
Robert Ferrari
2012· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Anthrax and bioterrorism: are we prepared?
Jeremy Mogridge
2004· letter· en· The Lancet· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affno abstractunlabeled
A holiday in Canada
Émilie Catherinot, É. Rivaud, B Epardeau, P Cahen, S. Condette–Auliac, Louis‐Jean Couderc
2002· article· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Battling perinatal depression
Donna E. Stewart
2015· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Gender bias in academia
Holly O. Witteman
2019· letter· en· The Lancet· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
4
citations
affno abstractunlabeled
Sudanese physicians' reintegration programme
Rodney Crutcher, Scott E Shannon, John Clayton, Daniel Madit Thon Duop
2008· article· en· The Lancet· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
The power and politics of fetal imagery
Brian Callender, Margaret Carlyle, Julie Chor
2021· article· en· The Lancet· Medicine
machine prediction:candidate · stsconsensus · none
4
citations
affno abstractunlabeled
Maternal mortality and abortion
René Leiva
2010· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
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How this was built: Screen · Findings · About