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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 Quality and Management
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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.

856 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.
856 works in the cohort · of 4,299,418page 16 of 18

Labels cover 4 of 856 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 856 of 856 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
AQ: les temps changent
Sandy Buchman
2012· article· en· Europe PMC (PubMed Central)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Examiner notre vision: objectif 2020
Cal Gutkin
2009· article· en· PubMed Central· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Fighting fraud
Colin Beacock
2001· article· en· Nursing Standard· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Case 4 : The Unique Role of Leadership in Public Health
Savnit Kaur, Pegeen Walsh, Ava John‐Baptiste, Amanda Terry
2016· article· en· Scholarship@Western (Western University)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
ISHRS Achieves ACCME Accreditation!
Paul C. Cotterill, Victoria Ceh
2006· article· en· International Society of Hair Restoration Surgery· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueaboutno affunlabeled
For the record
Wayne Kondro
2008· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1544-8800(12)70033-7
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutno abstractunlabeled
Cataract Surgery Rates in Ontario: Are We Supplying Enough?
Yvonne M. Buys, Rony Rachmiel, Graham E. Trope, Mary L. Chipman
2006· article· en· Investigative Ophthalmology & Visual Science· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Canadian
2013· article· en· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Citezenship and health care in Canada
Antonia Maioni
2010· article· en· International journal of Canadian studies = Revue internationale d'études canadiennes· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The CFPC’s Mount Rushmore.
Cal Gutkin
2008· article· en· PubMed Central· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Fourth Quarter 2013: Flight to Quality: Big Trumps Small
Crocker H. Liu, Adam Nowak, Robert M. White
2014· article· en· Cornell Peter and Stephanie Nolan School of Hotel Administration (Cornell University)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Are you ready for an office code blue
Simon Moore
2015· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Trustees take on quality.
Combes
2008· article· en· Hospitals & health networks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Let’s talk about the “S” word
Vanessa Warren
2020· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Devenir ce que doit
Rob Boulay
2011· article· en· Europe PMC (PubMed Central)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Perhaps I Am One of the Lucky Ones
Michael Heenan
2010· article· en· Insights (Essays)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
U.S. and Canada Institutions
Tele Atlas North America
2008· article· en· Offline data· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About