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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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Healthcare cost, quality, practices
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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.

1,204 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.
1,204 works in the cohort · of 4,299,418page 21 of 25

Labels cover 31 of 1,204 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 1,204 of 1,204 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.

venueno affno abstractunlabeled
10.1016/s1541-9800(06)71040-7
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Opponent’s comments
Navdeep Tangri, Thomas W. Ferguson, Paul Komenda
2017· article· en· Nephrology Dialysis Transplantation· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Book review
Gregory Rose
2010· article· en· International Journal of Infectious Diseases· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(05)70037-9
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
tardis-sn/tardis: TARDIS v2021.12.5
2021· other· en· Zenodo (CERN European Organization for Nuclear Research)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
INJECTABLE DRUG SUPPLY DISRUPTION UPDATE
Mark Welliver
2015· article· en· Gastroenterology Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A Good Day
Kieran L. Quinn, Allan S. Detsky
2024· article· en· New England Journal of Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Reducing Bias in Public Health Guidelines
Nicholas Chartres
2019· article· en· The Sydney eScholarship Repository (The University of Sydney)· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations
venueno affno abstractunlabeled
Empowering Medical Learners to Choose Wisely
Megan Woolner
2019· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reply
Susan E. Beekmann, Thomas Vaughn, Bradley N. Doebbeling
2002· article· en· Infection Control and Hospital Epidemiology· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Editor's response
J. Fletcher
2011· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1541-9800(11)70458-6
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Choosing Wisely and Wait Times
Kimberly Wintemute
2019· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1544-8800(05)70438-3
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
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
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How this was built: Screen · Findings · About