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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
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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.

6,862 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.
6,862 works in the cohort · of 4,299,418page 11 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.

aboutno affunlabeled
HEALTH TECHNOLOGY REASSESSMENT: THE ART OF THE POSSIBLE
Gail MacKean, Tom Noseworthy, Adam G. Elshaug, Laura E. Leggett, Peter Littlejohns, Joan Berezanski +1 more
2013· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
76
citations
affunlabeled
Priority setting for health technology assessment at CADTH
Don Husereau, Michel Boucher, Hussein Z Noorani
2010· review· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
75
citations
affunlabeled
Cost-Effectiveness Studies in the ICU: A Systematic Review*
M. Elizabeth Wilcox, Kelsey Vaughan, Christopher Chong, Peter J. Neumann, Chaim M. Bell
2019· review· en· Critical Care Medicine· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
72
citations
afffundunlabeled
Practical guidance for engaging patients in health research, treatment guidelines and regulatory processes: results of an expert group meeting organized by the World Health Organization (WHO) and the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO)
Maarten de Wit, Cyrus Cooper, Peter Tugwell, Nathalie Bere, John Kirwan, Philip G. Conaghan +22 more
2019· review· en· Aging Clinical and Experimental Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
72
citations
affno abstractunlabeled
Participation of Women in Clinical Trials
Louise Pilote, Valeria Raparelli
2018· letter· en· Journal of the American College of Cardiology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
71
citations
afffundaboutunlabeled
Integrated service networks: the Quebec case
Marie‐Josée Fleury
2006· review· en· Health Services Management Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
71
citations
affno abstractunlabeled
Family Spillover Effects in Pediatric Cost-Utility Analyses
Tara A. Lavelle, Brittany D’Cruz, Babak Mohit, Wendy J. Ungar, Lisa A. Prosser, Kate Tsiplova +2 more
2018· review· en· Applied Health Economics and Health Policy· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
70
citations

How this was built: Screen · Findings · About