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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
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 40 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
Defining decision thresholds for judgments on health benefits and harms using the grading of recommendations assessment, development, and evaluation (GRADE) evidence to decision (EtD) frameworks: a randomized methodological study (GRADE-THRESHOLD)
Gian Paolo Morgano, Wojtek Wiercioch, Daniele Piovani, Ignacio Neumann, Robby Nieuwlaat, Thomas Piggott +11 more
2024· article· en· Journal of Clinical Epidemiology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
13
citations
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
afffundunlabeled
Global kidney health priorities—perspectives from the ISN-GKHA
Ikechi G. Okpechi, Valérie A. Luyckx, Somkanya Tungsanga, Anukul Ghimire, Vivekanand Jha, David W. Johnson +1 more
2024· review· en· Nephrology Dialysis Transplantation· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
USE OF VALUE OF INFORMATION IN UK HEALTH TECHNOLOGY ASSESSMENTS
Syed Mohiuddin, Elisabeth Fenwick, Katherine Payne
2014· review· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
13
citations
affunlabeled
When It Comes to Trials, Do We Get What We Pay For?
P.J. Devereaux, Salim Yusuf
2013· letter· en· New England Journal of Medicine· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
13
citations
affunlabeled
Economic evidence in decision-making process in laboratory medicine
Massimo Brunetti, Silvia Pregno, Holger J. Schünemann, Mario Plebani, Tommaso Trenti
2011· article· en· Clinical Chemistry and Laboratory Medicine (CCLM)· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
13
citations
affunlabeled
The Design of Randomized Controlled Trials
Bryan M. Curtis, Brendan J. Barrett, Patrick S. Parfrey
2008· review· en· Methods in molecular biology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
13
citations
affno abstractunlabeled
Listening to the Decision Makers
Craig Mitton, San Patten, Cam Donaldson
2004· article· en· Applied Health Economics and Health Policy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Grace periods in comparative effectiveness studies of sustained treatments
Kerollos Nashat Wanis, Aaron L. Sarvet, Lan Wen, Jason P. Block, Sheryl L. Rifas‐Shiman, James M. Robins +1 more
2024· article· en· Journal of the Royal Statistical Society Series A (Statistics in Society)· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
13
citations
affno abstractunlabeled
An economic approach to health care
Joanne Homik, María E. Suarez‐Almazor
2004· review· en· Best Practice & Research Clinical Rheumatology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
How to Appraise the Effectiveness of Treatment
Mohit Bhandari, R. Brian Haynes
2005· article· en· World Journal of Surgery· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
13
citations

How this was built: Screen · Findings · About