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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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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
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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 87 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.

venueno affunlabeled
The best type of trial
Michal R Pijak
2004· letter· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
1
citations
affno abstractunlabeled
STRIPE partners in precision medicine series: provider perspective
Christine M. Formea, Paldeep S. Atwal, Kathryn Meintsma, Martin Dawes, Gary E. Marchant, Ben L. Kong +2 more
2024· review· en· The Pharmacogenomics Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Medical Decision Analysis in Infectious Diseases
Upton Allen
2000· article· en· Canadian Journal of Infectious Diseases and Medical Microbiology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
L’évaluation des soins holistiques
Odile Sévigny, Anne Quéniart, Abby Lippman, Salinda Hess, Patrick Chabot
2015· article· fr· International Review of Community Development· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Outcome reporting bias in government-funded RCTs
An‐Wen Chan
2005· article· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · metaresearch+research_integrityconsensus · metaresearch
1
citations
aboutno affunlabeled
PP193 How Does HTA Address Social Expectations Now? An International Survey.
Hubert Gagnon, Christian Bellemare, Georges-Auguste Legault, Suzanne K. Bédard, Jean-Pierre Béland, Louise Bernier +5 more
2019· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
PP43 Impact Of The COVID-19 Pandemic In The Brazilian National Committee for Health Technology Incorporation (Conitec) Recommendation Process
Marília Mastrocolla de Almeida Cardoso, Lehana Thabane, Juliana Rugolo, Daniel Da Silva Pereira Curado, Luis Gustavo Modelli, Silvana Andréa Molina Lima +1 more
2022· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
Exploring the COVID-19 Pandemic’s Impact on the Health Technology Assessment Process of the National Commission for the Incorporation of Technologies Into the Brazilian Health System
Marília Mastrocolla de Almeida Cardoso, Lehana Thabane, Luís Gustavo Modelli de Andrade, Daniel da Silva Pereira Curado, Denis Satoshi Komoda, Juliana Machado‐Rugolo +2 more
2023· article· en· Value in Health Regional Issues· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
1
citations

How this was built: Screen · Findings · About