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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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School Health and Nursing Education
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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.

1,085 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.
1,085 works in the cohort · of 4,299,418page 3 of 22

Labels cover 7 of 1,085 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 1,085 of 1,085 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
Have the health services reoriented at all?
Evelyne de Leeuw
2009· editorial· en· Health Promotion International· Health Professions
machine prediction:candidate · noneconsensus · none
26
citations
aboutno affunlabeled
We need a comprehensive approach to health promotion
Jonine Jancey, Lisa M. Barnett, James A. Smith, Colin Binns, Peter Howat
2016· editorial· en· Health Promotion Journal of Australia· Health Professions
machine prediction:candidate · noneconsensus · none
25
citations
aboutno affunlabeled
Health promoting Hospitals in Iran: How it is
Maryam Yaghoubi, Marzieh Javadi
2013· article· en· Journal of Education and Health Promotion· Health Professions
machine prediction:candidate · noneconsensus · none
24
citations
affno abstractunlabeled
The Global Alliance against Respiratory Diseases (GARD) Country Report
Arzu Yorgancıoğlu, Álvaro A. Cruz, Jean Bousquet, Nikolaï Khaltaev, Shanthi Mendis, А. Г. Чучалин +27 more
2014· letter· en· Primary Care Respiratory Journal· Health Professions
machine prediction:candidate · noneconsensus · none
23
citations
afffundaboutunlabeled
Health education curricula in Canada: an overview and analysis
Daniel B. Robinson, Lauren Sulz, Hayley Morrison, Lindsey Wilson, Jodi Harding-Kuriger
2023· article· en· Curriculum Studies in Health and Physical Education· Health Professions
machine prediction:candidate · noneconsensus · none
23
citations
aboutno affunlabeled
Descriptive Epidemiology of Asthma in Trinidad, West Indies
Michèle Monteil, Solaiman Juman, Rhonda Hassanally, K. P. Williams, L. Pierre, Mushfiqur Rahaman +2 more
2000· article· en· Journal of Asthma· Health Professions
machine prediction:candidate · noneconsensus · none
21
citations
aboutno affunlabeled
Implementing a social‐ecological model of health in Wales
Heather Rothwell, Michael Shepherd, Simon Murphy, Stephen Burgess, Nick Townsend, Claire Pimm
2010· article· en· Health Education· Health Professions
machine prediction:candidate · noneconsensus · none
19
citations

How this was built: Screen · Findings · About