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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 Public Health Policies and Epidemiology
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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
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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.

2,784 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.
2,784 works in the cohort · of 4,299,418page 13 of 56

Labels cover 13 of 2,784 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 2,784 of 2,784 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
Going Public
Ramya Kumar, Anne‐Emanuelle Birn
2023· book· en· Cambridge University Press eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
14
citations
venueno affunlabeled
Alcohol policy process in Malawi: Making it happen
Carina Ferreira‐Borges, Dag Endal, Thomas F. Babor, Sónia Dias, Maganizo Kachiwiya, Nelson Zakeyu
2014· article· en· The International Journal of Alcohol and Drug Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Vax the world
Madhukar Pai, Ayoade Olatunbosun-Alakija
2021· editorial· en· Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
13
citations
affvenueunlabeled
Planetary health action framework: A case study
Enrique Barros, Tatiana Souza de Camargo, Aírton Tetelbom Stein, Alan Abelsohn, Diogo O. Souza
2022· article· en· International Health Trends and Perspectives· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Global Efforts for Reducing the Burden of Smoking
Frank J. Chaloupka, Prabhat Jha, Marlo A. Corrao, Vera Luiza da Costa e Silva, Hana Ross, Christina Ciecierski +1 more
2003· article· en· Disease Management & Health Outcomes· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
13
citations
aboutno affunlabeled
Health, health care and capitalism.
Colin Leys
2009· article· en· Socialist register· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
13
citations
aboutno affunlabeled
'In God we trust, all others (must) bring data'
Jennifer M. Lynch, David Stückler
2012· letter· en· International Journal of Epidemiology· Business, Management and Accounting
machine prediction:candidate · metaresearchconsensus · none
13
citations
affvenueno abstractunlabeled
The G8 and Global Health
Ronald Labonté, Ted Schrecker
2006· article· en· Canadian Journal of Public Health· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
12
citations

How this was built: Screen · Findings · About