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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.

affaffiliation
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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
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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 30 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.

affunlabeled
Pharmacotherapy for weight loss
Christian F. Rueda‐Clausen, Raj Padwal
2014· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
aboutno affunlabeled
fMRI for vegetative and minimally conscious states
Lynne Turner‐Stokes, Jenny Kitzinger, Helen Gill-Thwaites, E. Diane Playford, Derick T Wade, Judith Allanson +1 more
2012· editorial· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Psychological coping and cancer
Maggie Watson
2003· letter· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Lyme disease: time for a new approach?
Liesbeth Borgermans, Christian Perronne, Ran D. Balicer, Ozren Polašek, Valérie Obsomer
2015· editorial· en· BMJ· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Management of mammalian bites
Isabelle N Colmers-Gray, John Tulloch, Geneviève Dostaler, Anthony D. Bai
2023· article· en· BMJ· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Acute myocardial infarction
Lauren Lapointe‐Shaw, Chaim M. Bell
2014· letter· fr· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Human monkeypox: diagnosis and management
Rania Mansour, Angela Houston, Azeem Majeed, Yap Boum, Emmanuel Nakouné, Mohammad S Razai
2023· article· en· BMJ· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Perthes' disease
Pekka Kannus, Andrew Howard
2014· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
Medical needs of immigrant populations
Shahid Anis Khan, Partha S. Ghosh
2005· editorial· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About