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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
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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.

2,998 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 38 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.

venueaboutno affunlabeled
Building support for team-based care
Mike Green
2024· article· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Simulation en équipe
N. Roten, Sylvain Boet
2013· book-chapter· fr· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
COMPETÊNCIAS INTERPROFISSIONAIS NUCLEARES NO CUIDADO EM SAÚDE: UM ESTUDO TEÓRICO
Joyce Aparecida Da Luz Colaço, Larissa Luiza Dotto Dias, Patrícia Cristiane Ribeiro Pinheiro, Skarlat Manuely Da Silva de Souza Rodrigues, Wesley Meleti dos Santos, Ludmila Mourão Xavier Gomes +2 more
2023· article· pt· RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Educating Children in Our Care
Kathryn Levine, Dawn Sutherland, Melanie D. Janzen
2020· article· en· Advances in Social Work· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Internal medicine nurse shadowing program
Winnie Wing Sam Chan, Mary Salib, Shelly‐Anne Li, Teresa M. Chan, John J. You, Meghan C. McBride +1 more
2017· article· en· Journal of Interprofessional Education & Practice· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Archetypes of integrated care
Marissa Bird, James C. Shaw, Vanessa Wright, Carolyn Steele Gray
2024· article· en· Journal of Integrated Care· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Leadership as a Calling for All Case Managers
Kendra Greene, Vivian Campagna
2024· article· en· Professional Case Management· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Leading interagency collaboration
Janet McCray, Cally Ward
2003· article· en· Journal of Nursing Management· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About