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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.

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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 24 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.

affaboutunlabeled
Can the Health Utilities Index Measure Change?
Jacek A. Kopec, Susan Schultz, Vivek Goel, Jack I. Williams
2001· article· en· Medical Care· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
30
citations
affunlabeled
EQ-5D-5L Health-State Values for the Mexican Population
Cristina Gutiérrez-Delgado, Rosa-María Galindo-Suárez, Cesar Cruz-Santiago, Koonal Shah, M. Papadimitropoulos, Yan Feng +2 more
2021· article· en· Applied Health Economics and Health Policy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
30
citations
affunlabeled
A three‐stage clinical trial design for rare disorders
Visa Honkanen, Andrew F. Siegel, John Paul Szalai, Vance W. Berger, Brian M. Feldman, Jeffrey Siegel
2001· article· en· Statistics in Medicine· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
30
citations
affunlabeled
Bayeswatch: an overview of Bayesian statistics
Peter C. Austin, Lawrence J. Brunner, Janet E. Hux MD SM
2002· article· en· Journal of Evaluation in Clinical Practice· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
30
citations
affunlabeled
Multiple Trials May Yield Exaggerated Effect Size Estimates
Andrew Brand, M. T. Bradley, Lisa A. Best, George Stoica
2010· article· en· The Journal of General Psychology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
30
citations
affunlabeled
Large streamlined trials in cardiovascular disease
Gonzalo Calvo, John J.V. McMurray, Christopher B. Granger, Andrés Alonso-García, Paul W. Armstrong, Marcus Flather +5 more
2014· article· en· European Heart Journal· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
30
citations
affno abstractunlabeled
An unadjusted NNT was a moderately good predictor of health benefit
Christopher Chong, George Tomlinson, Lisa Chodirker, Nassi Figdor, Mark Uster, Gary Naglie +1 more
2006· review· en· Journal of Clinical Epidemiology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
30
citations

How this was built: Screen · Findings · About