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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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Global Health Workforce Issues
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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.

3,522 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.
3,522 works in the cohort · of 4,299,418page 32 of 71

Labels cover 18 of 3,522 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 3,522 of 3,522 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.

affno abstractunlabeled
Global Health and Global Nursing: Setting the Context
Gillian Adynski, Michelle Acorn, Pamela F. Cipriano
2024· book-chapter· en· Advanced practice in nursing· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affvenueno abstractunlabeled
No 282-Soins de maternité en région rurale
Katherine Miller, Carol Couchie, William Ehman, Lisa Graves, Stefan Grzybowski, Jennifer Medves
2017· article· fr· Journal of Obstetrics and Gynaecology Canada· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Radiologist Incomes: A Global Perspective
Miguel Ramalho, Mamdoh AlObaidy, Caroline Reinhold, Thomas J. Vogl, David J. Breen, Tim Leiner +1 more
2016· article· en· Current Radiology Reports· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Guest Editorial
Marshelle Thobaben, Deborah Roberts
2005· editorial· en· Contemporary Nurse· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
Immigrant workers flood training program
R. Tumilty
2008· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
SUPPORT FOR THE FUTURE OF NURSING
Kathy A. Baker
2013· editorial· en· Gastroenterology Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Responding to Good Medical Practice Consultation 2022
Indranil Chakravorty, Sunil Daga, Ramesh Mehta, Anshoo Dhelaria, Cherian George, Geeta Menon +21 more
2021· article· en· Sushruta Journal of Health Policy & Opinions· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About