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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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Health Sciences Research and Education
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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
fundfunder
venuejournal
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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.

2,679 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.
2,679 works in the cohort · of 4,299,418page 32 of 54

Labels cover 60 of 2,679 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 2,679 of 2,679 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.

affvenueunlabeled
Grounded in practice
Jason Hosain, Olivia Reis, Tanya Verrall, Angela Baerwald, Breanna Davis, Andries Muller +2 more
2020· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Painless Evidence-Based Medicine, 2nd ed
Stephanie Clark, Douglas Campbell
2018· article· en· Anesthesia & Analgesia· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Evolution-revolution-devolution
Ada Ducas, Tania Gottschalk, Analyn Cohen-Baker
2021· article· en· Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affgemma · no categorygpt · no categorymodels agree
6Ts teaching tips for evidence-based practitioners
J. Figurski, Rakesh Patel, Jorge G. Burneo, S. Langlands, Sheri A. Keitz
2007· editorial· en· Evidence-Based Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Perpetuating our profession
Tom Bartol
2017· article· en· The Nurse Practitioner· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
New scientific editor of the journal
Pamela Orr
2003· article· en· International Journal of Circumpolar Health· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
A universal manuscript for all medical journals
Sanjay A Pai, Madhukar Pai
2019· letter· en· The National Medical Journal of India· Health Professions
machine prediction:candidate · metaresearchconsensus · none
1
citations
afffundvenueaboutunlabeled
A collaboration for the promotion of evidence synthesis: A Canadian-African Partnership
Kim Sears, Amanda Ross‐White, Christina Godfrey, Devind Peter, Alison Annet Kinengyere, Oluwaseun Ireti Obasola
2019· article· en· Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
1
citations

How this was built: Screen · Findings · About