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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.

2,802 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 24 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.

aboutno affunlabeled
Clinical prediction rules
Gavin A. Falk, Tom Fahey
2009· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
25
citations
afffundunlabeled
Biologicals for rheumatoid arthritis
Peter Tugwell, Jasvinder A. Singh, George A. Wells
2011· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
Risk of Bias in Network Meta-Analysis (RoB NMA) tool
Carole Lunny, Julian P. T. Higgins, Ian R. White, Sofia Dias, Brian Hutton, James M Wright +3 more
2025· article· en· BMJ· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
24
citations
affunlabeled
Should we delay covid-19 vaccination in children?
Dominic Wilkinson, Ilora Finlay, Andrew J. Pollard, Lisa Forsberg, Anthony Skelton
2021· article· en· BMJ· Social Sciences
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
Incorporating dose effects in network meta-analysis
Jennifer Watt, Cinzia Del Giovane, Dan Jackson, Rebecca Turner, Andrea C. Tricco, Dimitris Mavridis +1 more
2022· article· en· BMJ· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
23
citations
affunlabeled
Acute asthma
Mark Fitzgerald
2001· review· en· BMJ· Psychology
machine prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
Liberating the data from clinical trials
David Henry, Tiffany Fitzpatrick
2015· editorial· en· BMJ· Medicine
machine prediction:candidate · metaresearch+open_scienceconsensus · none
23
citations
affunlabeled
Challenging assumptions in obesity research
Elizabeth Sturgiss, Melanie Jay, Denise Campbell‐Scherer, Chris van Weel
2017· article· en· BMJ· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
23
citations
affunlabeled
How telemedicine helps
Anthony C Smith, Victor Patterson, Richard E. Scott
2007· letter· en· BMJ· Environmental Science
machine prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
Reducing routine inpatient blood testing
William K. Silverstein, Adina Weinerman, Karen Born, Cindy Dumba, Christopher Moriates
2022· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Atrial fibrillation
K. E Griffith, M. Pye
2008· article· es· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Decolonisation and quality of care
Bernice Yanful, Meghan Bruce Kumar, Ezequiel García‐Elorrio, Chris Atim, Sanam Roder‐DeWan
2023· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
23
citations
affaboutunlabeled
Self regulation must be made to work
W. Dale Dauphinée
2005· review· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
22
citations
aboutno affunlabeled
Hormone replacement therapy
JohnC. Stevenson
2002· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Counselling
A. Bagshawe
2003· review· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
21
citations
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