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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 7 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.

affunlabeled
Measuring Resource Utilization
Laura E. Leggett, Rachel G. Khadaroo, Jayna Holroyd‐Leduc, Diane Lorenzetti, Heather Hanson, Adrian Wagg +2 more
2016· review· en· Medicine· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
117
citations
affunlabeled
Core GRADE 1: overview of the Core GRADE approach
Gordon Guyatt, Thomas Agoritsas, Romina Brignardello‐Petersen, Reem A. Mustafa, Jamie Rylance, Farid Foroutan +18 more
2025· article· en· BMJ· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
112
citations
affno abstractunlabeled
When should an effective treatment be used?
John C. Sinclair, Richard J. Cook, Gordon H Guyatt, Stephen G. Pauker, Deborah J. Cook
2001· article· en· Journal of Clinical Epidemiology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
112
citations
affunlabeled
Health utility estimation
George W. Torrance, William Furlong, David Feeny
2002· article· en· Expert Review of Pharmacoeconomics & Outcomes Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
110
citations
affaboutunlabeled
Proliferation of Cardiac Technology in Canada
David A. Alter, Thérèse A. Stukel, Alice Newman
2006· article· en· Circulation· Economics, Econometrics and Finance
machine prediction:candidate · stsconsensus · none
110
citations
affvenueno abstractunlabeled
Converting visual acuity to utilities
Sanjay Sharma, Gary C. Brown, Melissa M. Brown, Gaurav K. Shah, Kristin K. Snow, Heidi Brownt +1 more
2000· article· en· Canadian Journal of Ophthalmology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
109
citations
affunlabeled
Comparing EQ-5D Valuation Studies
Feng Xie, Kathryn Gaebel, Kuhan Perampaladas, Brett Doble, Eleanor Pullenayegum
2013· review· en· Medical Decision Making· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
109
citations
fundno affgemma · no categorygpt · no categorymodels agree
Advancing the application of systems thinking in health
Taghreed Adam
2014· editorial· en· Health Research Policy and Systems· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
108
citations
affunlabeled
Using economics to set pragmatic and ethical priorities
Stuart Peacock, Danny Ruta, Craig Mitton, Cam Donaldson, Angela Bate, Madeleine J. Murtagh
2006· review· en· BMJ· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
105
citations
afffundno abstractunlabeled
The Value of Value of Information
Simon Eckermann, Jonathan Karnon, Andrew R. Willan
2010· article· en· PharmacoEconomics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
104
citations
affno abstractunlabeled
How may clinical research improve healthcare outcomes?
Monika K. Krzyzanowska, Richard Kaplan, Richard Sullivan
2011· review· en· Annals of Oncology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
103
citations
affno abstractunlabeled
Not all “quality-adjusted life years” are equal
Carlo A. Marra, Daphne Guh, Mehdi Najafzadeh, Frederick Wolfe, John M. Esdaile, Ann E. Clarke +2 more
2006· article· en· Journal of Clinical Epidemiology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
103
citations

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