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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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Interprofessional Education and Collaboration
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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.

2,998 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.
2,998 works in the cohort · of 4,299,418page 48 of 60

Labels cover 23 of 2,998 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 2,998 of 2,998 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
Background
2014· article· en· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Critical caring
Katherine Kortes-Miller
2013· article· en· Patient Education and Counseling· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Inching Away From the Barbarians
Hassan Soubhi
2013· article· en· Journal of Research in Interprofessional Practice and Education· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The Canadian Wound Care Education Framework
Corey Heerschap, Ella Cavallin, Matthew Karasmanis, Britney Butt
2025· article· en· Canadian Journal of Wound Ostomy and Continence· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
From The Editors
Anne Wojtak, Richard Lewanczuk
2025· article· en· Healthcare Quarterly· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
P.060 Teamwork makes dreamwork: a stroke of genius
CS Casserly, Danielle Dilkes
2023· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Creating Health and Wellbeing through Integrated Care
Jodeme Goldhar, Walter P. Wodchis, Shawna McGhan, Kerry Kuluski, Carolyn Steele Gray, Sharon Anderson
2025· article· en· International Journal of Integrated Care· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Effectiveness of the Extension for Community Healthcare Outcomes (ECHO) Model of continuing tele-education and influence of key learning conditions on the development of competencies in healthcare professionals: Protocol for a mixed methods systematic review
Gabrielle Chicoine, José Côté, Jacinthe Pépin, Guillaume Fontaine, Marc‐André Maheu‐Cadotte, Quan Hong +3 more
2021· preprint· en· Research Square· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About