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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 46 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
The real irony of The Doctor
J. A. Moore
2010· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Authors’ reply to Gallagher and Winocour
Laurent Azoulay, Kristian B. Filion
2016· letter· en· BMJ· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Can the ex-postman deliver?
Nicholas Timmins
2007· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Sixty seconds on . . . cling film
Elisabeth Mahase
2019· article· en· BMJ· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
David Douglas French
R. French
2003· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Beneath the surface
R E Ferner
2013· article· en· BMJ· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Evidence based exercise prescriptions in primary care
Ediriweera Desapriya, Shaluka Chamodya Manchanayake, Hasara Illuppelle, Peter Tiu, Crystal Ma
2024· letter· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Edward Lorden Trickey
Janice Wilson
2002· article· de· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
John Edward Lawson Price
D. Price
2002· article· en· BMJ· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Alun Lloyd Thomas
H. Thomas
2002· article· es· BMJ· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Our attitudes towards patients
Teresa Pun
2006· article· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Ways to enhance nature prescribing
Ediriweera Desapriya, Crystal Ma, Hasara Illuppelle, Dave Gunaratna, Shaluka Chamodya Manchanayake
2024· letter· en· BMJ· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Authors’ reply to Farrar
Stefan Schandelmaier, Reed Siemieniuk, Thomas Agoritsas, Per Olav Vandvik, Gordon Guyatt, Jason W. Busse
2017· letter· de· BMJ· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Kathryn Jane Hosker
J. H. Thomas
2004· article· de· BMJ· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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