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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
Evidence
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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 59 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.

affunlabeled
Barriers to SCHIP enrollment
Christina M.L. Kelton, Miriam Levitt, Margaret K. Pasquale
2005· article· en· Politics and the Life Sciences· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affno abstractunlabeled
Ontario's MedsCheck continues to grow
Kathie Lynas
2008· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Second Quarter Healthcare Financing Review
Brian Stephenson
2011· article· en· Genetic Engineering & Biotechnology News· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Historical GIS Research in Canada
2014· book· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Mental Health And Health Care Provision
Elaine Xiaoyu Guo
2023· dissertation· TSpace· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Medication Management Program Coming to BC
2010· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Obama Holds Steady In New Hampshire 8/2/2010
2010· article· en· University of New Hampshire Scholars Repository (University of New Hampshire at Manchester)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Three Essays in Health Economics
2025· dissertation· en· MacSphere (McMaster University)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundvenueno abstractunlabeled
Morning or Night—Just Take Your Pills
Sheldon W. Tobe
2025· editorial· en· Canadian Journal of Cardiology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Share of health spending on doctors increases
Carolyn V. Brown
2015· article· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Drug Bills And Medicare Part D
Jack Rodgers
2005· letter· en· Health Affairs· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Convenient Analogies for an Inconvenient Truth
Peter Sargious
2007· letter· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
In Reply
Catherine Smith, Flora Teng, Emma Branch, Scally Chu, K.S. Joseph
2020· letter· en· Obstetrics and Gynecology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Cesarean Sections: The Authors Reply
Katy B. Kozhimannil, Beth A Virnig, Michael R. Law
2013· letter· en· Health Affairs· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About