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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 8 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
[Risk factors of drug use in school environment in Tunis].
R.A. El Amrani, Sarra Errais, Radhouane Fakhfakh, Hmida Dridi, Emna Ben Said, Habib Ben Othman +1 more
2002· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
An ounce of prevention
PRW Kendall, Colin Mangham, David W. Young
2004· article· en· Paediatrics & Child Health· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
4
citations
affunlabeled
As the ship sails forth.
Irving Rootman, Peggy Edwards
2006· other· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Pinning our hopes on the future.
Molly Ferguson, Lorena Harvey, Judy McKale-Waring, Nancy Gaines Platt, David Reid
2008· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
venueaboutno affunlabeled
Pros and cons of first aid training?
E. Skura
2010· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Nurses and teachers : partnerships for green health promotion
Marguerite C. Sendall, John Lidstone, Mary Louise Fleming, Michelle Domocol
2013· article· en· QUT ePrints (Queensland University of Technology)· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Health promotion and schools: how to move forward
Daniela Gardano Bucharles Mont’Alverne, Ana Maria Fontenele Catrib
2014· article· en· Revista Brasileira em Promoção da saúde· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Ces étudiants à risque de dépression
Aude Villatte, Diane Marcotte, Alexandra Potvin
2015· article· fr· Sociographe· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Promoção da saúde e as escolas: como avançar
Daniela Gardano Bucharles Mont’Alverne
2013· article· pt· Revista Brasileira em Promoção da saúde· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About