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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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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.

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 50 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.

affaboutunlabeled
Every Team Needs a Coach: Insights from Ontario Health Teams
Michelle Nelson, Alyssa Indar, Lynne Sinclair, Paula Blackstien-Hirsch, Lauren MacEachern, G. Ross Baker
2023· article· en· International Journal of Integrated Care· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Do We Have a Community of Inquiry?
Hassan Soubhi
2010· article· en· Journal of Research in Interprofessional Practice and Education· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
ARTICLE
John JR Cutcliffe, Julia Jones, Ann Jackson
2002· article· en· British Journal of Nursing· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueaboutunlabeled
Healthcare highways in your community
Howard R. Stuart
2022· article· en· International Journal of Whole Person Care· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Preface
Sandra Goldsworthy
2016· editorial· en· Critical Care Nursing Clinics of North America· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Indicators and measurement tools for health systems integration: Results from a knowledge synthesis / Indicadores y herramientas de medición para la integración de los sistemas de salud: Los resultados de una síntesis del conocimiento
Esther Suter, Nelly D. Oelke, Maria Alice Dias da Silva Lima, Cheryl Van Vliet-Brown, Shelanne Hepp, Michelle Stiphout
2015· article· es· International Journal of Integrated Care· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
From the Editors
Anne Wojtak, Richard Lewanczuk
2024· editorial· en· Healthcare Quarterly· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Interprofessional education grand rounds
Zachary Singer, Joanne M. Britto
2016· article· en· University of Western Ontario Medical Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractgpt · no categorygrok · no categoryopus · no categorymodels split
Narrowing the Theory Practice Gap through Interprofessional Knowledge Sharing
Kieng Tan, Emily Binsell, Michelle Campbell, Mariam Ebady, Devin Hindle, Matthew Ng +4 more
2017· article· en· Journal of medical imaging and radiation sciences· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Impacts of Team Culture on Primary Care Teams
Nelly D. Oelke, Ashmita Rai, Davina Banner, Erin Wilson, Sabrina T. Wong, Walter P. Wodchis +8 more
2025· article· en· International Journal of Integrated Care· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Optimizing the role of the dermatology nurse
Kimberly Robin Andrew
2017· dissertation· en· e-scholar@UOIT (University of Ontario Institute of Technology)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About