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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 Care 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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,663 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.
1,663 works in the cohort · of 4,299,418page 2 of 34

Labels cover 8 of 1,663 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 1,663 of 1,663 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.

affunlabeled
Factors Affecting Retirement Mortality
Robert L. Brown, Joanne McDaid
2003· article· en· North American Actuarial Journal· Health Professions
machine prediction:candidate · noneconsensus · none
120
citations
affaboutunlabeled
Changes in unmet health care needs.
Claudia Sanmartin, Christian Houle, Stéphane Tremblay, Jean‐Marie Berthelot
2002· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
100
citations
aboutno affunlabeled
Financing Health Care
Ullrich Hoffmeyer, Thomas R. McCarthy
2000· book· en· Medical Entomology and Zoology· Health Professions
machine prediction:candidate · noneconsensus · none
95
citations
affunlabeled
Health care system performance of 27 OECD countries
Éric Tchouaket Nguemeleu, Paul A. Lamarche, Lise Goulet, André Pierre Contandriopoulos
2012· article· en· The International Journal of Health Planning and Management· Health Professions
machine prediction:candidate · noneconsensus · none
88
citations
affunlabeled
Institutional analysis of health system governance
Ṣẹ̀yẹ Abímbọ́lá, Joel Negin, Alexandra Martiniuk, Stephen Jan
2017· article· en· Health Policy and Planning· Health Professions
machine prediction:candidate · noneconsensus · none
81
citations
affunlabeled
Slovakia health system review.
Peter Pažitný
2011· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
72
citations
affvenueunlabeled
India’s Elderly: Burden or Challenge?
Kamala Elizabeth Nayar
2000· article· en· Pacific Affairs· Health Professions
machine prediction:candidate · noneconsensus · none
68
citations
affaboutno abstractunlabeled
The health status of obese individuals in Canada
K Trakas, Ó. Fabre Pi, Sanjay K. Singh, Nancy Risebrough, NH Shear
2001· article· en· International Journal of Obesity· Health Professions
machine prediction:candidate · noneconsensus · none
63
citations
fundno affunlabeled
Health Care and Equality of Opportunity
Gopal Sreenivasan
2007· article· en· The Hastings Center Report· Health Professions
machine prediction:candidate · noneconsensus · none
60
citations

How this was built: Screen · Findings · About