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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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Primary Care and Health Outcomes
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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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

4,685 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.
4,685 works in the cohort · of 4,299,418page 61 of 94

Labels cover 32 of 4,685 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 4,685 of 4,685 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
What was the 388? Opening the Dossier
Alexander Reid Miller
2025· article· en· Psychoanalysis and History· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Readiness to Change Is Difficult to Measure
Michael Vallis
2006· article· en· Canadian Journal of Diabetes· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Remodelling medicine
C. Ruth Wilson
2012· article· en· Journal of Interprofessional Care· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Innovation in Canadian Healthcare:
A. Scott Carson
2018· book-chapter· en· MQUP eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Innovation in Canadian Healthcare:
Lynne Golding
2018· book-chapter· en· MQUP eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Introduction: Medical doctors and healthcare reforms
Jean‐Louis Denis, Sabrina Germain, Catherine Régis, Gianluca Veronesi
2022· book-chapter· en· Policy Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
‘Quality isn’t free’
Thelma Agnew
2009· article· en· Mental Health Practice· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/b978-84-8086-219-6.00012-1
2000· book-chapter· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1541-9800(07)70447-7
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Cowboys, costumes, and CME
Cal Gutkin
2009· article· en· Europe PMC (PubMed Central)· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueaboutno affno abstractunlabeled
Rethinking the System of Care in Manitoba.
Nadine Bartlett, Rick Freeze
2005· article· en· Exceptionality education Canada· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Out with the old, in with the new!
Lilia Malkin
2003· editorial· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(06)72210-8
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Hospitalizations in the ART-CC: 1996-2015
Margaret May, Adam Trickey, Sophie Abgrall, Colette Smith, M. John Gill, François Dabis +8 more
2017· article· en· Bristol Research (University of Bristol)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Is My Blood Pressure OK?
Anita Raj
2017· article· en· McGill Journal of Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About