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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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Healthcare Policy and Management
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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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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.

3,600 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.
3,600 works in the cohort · of 4,299,418page 37 of 72

Labels cover 5 of 3,600 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 3,600 of 3,600 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
The only constant is change
Sandra G. Leggat, Judith Dwyer
2005· article· en· Australian Health Review· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Health Policy
Audrey L’Espérance
2024· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Option Value of Disability Insurance in Canada
Kevin Milligan, Tammy Schirle
2014· article· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The Politics of Medicare North and South
Carolyn Hughes Tuohy
2001· article· en· Journal of Health Politics Policy and Law· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Randomise foundation trusts
David Torgerson
2003· letter· en· BMJ· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Many issues loom for CMA's new president
Barbara Sibbald
2001· article· en· Europe PMC (PubMed Central)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
13 Alberta’s Health Spending Challenge
Stephen Duckett, Gordon Kramer, Liesje Sarnecki
2013· book-chapter· en· University of Alberta Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Exclusive Contracts in Health Insurance
Ilya Rahkovsky
2015· article· en· Business and Management Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
The Politics and Analytics of Health Policy
Calum Paton
2014· article· en· Research Information System of Ardabil University of Medical Sciences (Ardabil University of Medical Sciences)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractunlabeled
Provincial Drug Plans: Now There's a Minefield
Neil J. MacKinnon
2004· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About