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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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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.

2,802 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.
2,802 works in the cohort · of 4,299,418page 34 of 57

Labels cover 38 of 2,802 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 2,802 of 2,802 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.

affno abstractunlabeled
Medical cannabis for chronic pain
Edeltraut Kröger, Clermont E. Dionne
2021· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
A major failure of scientific governance
Richard Smith, Fiona Godlee
2015· editorial· en· BMJ· Health Professions
machine prediction:candidate · metaresearch+research_integrityconsensus · none
5
citations
affno abstractunlabeled
Minor injuries: laceration repairs
Isabelle N Colmers-Gray, Aven Crawshay, Curtis Budden
2023· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Cinderella revisited
Stewart M Cameron
2005· article· en· BMJ· Arts and Humanities
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Reducing harm from overuse of healthcare
Karen Born, Wendy Levinson, Loren de Freitas
2022· editorial· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Reforming the coroner's service
Christopher M. Milroy
2003· editorial· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Working as a doctor in Canada
Helen Jones
2019· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
A shrinking window of opportunity
Ralph Gonzales, Kitty Corbett, Veronika J. Wirtz, Anahí Dreser
2008· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Red eye
Sharon Bal, Gary R. Hollingworth
2005· review· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Declining altruism in medicine
2002· letter· en· BMJ· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Device therapy in heart failure
Finlay A. McAlister
2007· letter· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affaboutunlabeled
Data to support assisted dying
Jonathan Downar, Marguerite A. Boisvert, David Roy Smith
2014· letter· en· BMJ· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About