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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
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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
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 41 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.

fundno affunlabeled
Ethics, Error, and Initial Trials of Efficacy
Spencer Phillips Hey, Jonathan Kimmelman
2013· article· en· Science Translational Medicine· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
13
citations
affunlabeled
Public attitudes and values in priority setting
Stuart Peacock
2015· article· en· Israel Journal of Health Policy Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Health Utility Attributes for Chronic Conditions
Nicole Mittmann, Derek Chan, K Trakas, Nancy Risebrough
2001· article· en· Disease Management & Health Outcomes· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Mapping MOS-HIV to HUI3 and EQ-5D-3L in Patients With HIV
Vilija R. Joyce, Huiying Sun, Paul G. Barnett, Nick Bansback, Susan Griffin, Ahmed M. Bayoumi +6 more
2017· article· en· MDM Policy & Practice· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
aboutno affunlabeled
Pharmacoeconomics in oncology
Rebecca Arbuckle, Andrea Adamus, Krista M King
2002· article· en· Expert Review of Pharmacoeconomics & Outcomes Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Theranos phenomenon − part 2
Michelle Li, Eleftherios P. Diamandis
2015· article· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Economics, Econometrics and Finance
machine prediction:candidate · metaresearch+research_integrityconsensus · none
12
citations

How this was built: Screen · Findings · About