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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
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 55 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
A revolution for nausea
David Holt
2007· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Glen Harrison Lowther
Marj Lowther, Dorothy Groghan, Shannon Dutson
2020· article· en· BMJ· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Authors' reply to Williams
Min Jun, Brenda R. Hemmelgarn
2015· letter· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Authors' reply to Stockwell and colleagues
Paul E. Ronksley, Susan Brien, Barbara J. Turner, Kenneth J. Mukamal, William A. Ghali
2012· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
John Anthony Clark Wilson
Ian A. Wilson
2012· article· en· BMJ· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Claire Hazel Epstein
Howard Parker
2009· article· fr· BMJ· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Author's reply
D. Spence
2011· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
3 Needles
Khalid Ali
2005· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
From Canada to Taiwan
Betty Pei Chun Huang, Shih-Chich Liao
2010· article· en· BMJ· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Frank Bernard Cockett
S Arié
2014· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
David Gwyn Seymour
Ruth M. Seymour
2017· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Steven Tarquin Goulding
P. Goulding
2002· article· en· BMJ· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Clothes maketh the new consultant
Mruthunjayan Swamy
2007· article· en· BMJ· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Joan Davies (nee Evans)
Colin Howard
2008· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
What the educators are saying
Phil Cotton, Jill Morrison
2006· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Donald MacVicar
David MacVicar
2007· article· de· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Robert Andrew Fay
Heather Fay
2012· article· de· BMJ· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Cataclysm and departure
Richard Smith
2004· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
John Mitchell Morgan
Sacha Higgins
2020· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
No better than less expensive drugs
T. L. Perry, Steve Lippman, M. McConnell, Aaron M Tejani
2012· letter· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Hit parade
2005· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Paul Leslie Gordon Townsend
Nigel Mercer, Antonio Orlando
2019· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Useful in which patients?
Andrew Moore, Sheena Derry, Grace McGeogh
2007· letter· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Christopher Richard Sheard
Peter Sheard
2004· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Gordon Thomas Dickinson
Geoff Watts
2015· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
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