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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
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.

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 15 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.

fundno affunlabeled
Subsidy Targeting with Market Power
Maria Polyakova, Stephen Ryan
2019· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
14
citations
fundaboutno affunlabeled
Genetics and life insurance in Canada: points to consider
Bartha Maria Knoppers, Trudo Lemmens, Yann Joly, Béatrice Godard
2003· article· en· Érudit documents and data repository (Érudit Consortium, University of Montreal)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Data and Safety Monitoring Boards
Paul W. Armstrong, Robert M. Califf
2013· article· en· JAMA· Economics, Econometrics and Finance
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
13
citations
affvenueaboutunlabeled
Ensuring adequate capital investment in Canadian health care
Bijan Teja, Imtiaz Daniel, George H. Pink, Adalsteinn Brown, David J. Klein
2020· article· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
How Hospitals Can Save Lives and Themselves
Eugene Litvak, Shaf Keshavjee, Bruce L. Gewertz, Harvey V. Fineberg
2021· article· en· Annals of Surgery· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Financial Incentives and Gaming in Alcohol Treatment
Mingshan Lu, Ching‐to Albert
2006· article· en· INQUIRY The Journal of Health Care Organization Provision and Financing· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations
affaboutunlabeled
Improving access to health services in Canada
David R. Urbach
2018· article· en· Healthcare Management Forum· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations

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