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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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Health Systems, Economic Evaluations, Quality of Life
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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.

6,862 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.
6,862 works in the cohort · of 4,299,418page 136 of 138

Labels cover 97 of 6,862 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 6,862 of 6,862 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.

affno abstractunlabeled
Ending Clinical Trials Prematurely
David L. Streiner
2022· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
Japanese ODA compared to Canadian ODA
Micheline Beaudry-Somcynsky
2012· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Benefit-Cost Analysis
Alex C. Michalos, Alex C. Michalos
2014· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
International Review Panel
2023· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Equity in Access to Cancer Care
Beverley M. Essue, Otuto Amarauche Chukwu, Ajay Aggarwal
2025· other· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Costs in Comparative Effectiveness Research
Stirling Bryan, Marthe R. Gold
2015· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian Markets for Spinal Implants
2007· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
ment: A Policy Study
2012· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Economics of Health Care
Carole A. Bradley, Jane Griffin
2013· other· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Economics of Health Care
Carole A. Bradley, Jane Griffin
2009· other· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About