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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 46 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
Long-Run Risk is the Worst-Case Scenario
Rhys Bidder, Ian Dew-Becker
2016· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
The “pharmaceuticalisation” of life
Alain Braillon, Joel Lexchin, Aubrey Blumsohn, Michael P. Hengartner
2019· letter· en· BMJ· Economics, Econometrics and Finance
machine prediction:candidate · stsconsensus · none
10
citations
afffundno abstractunlabeled
A users' guide to understanding therapeutic substitutions
Edward J. Mills, David M. Gardner, Kristian Thorlund, Matthias Briel, Stirling Bryan, Brian Hutton +1 more
2013· article· en· Journal of Clinical Epidemiology· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
10
citations
affno abstractunlabeled
International Standards for Clinical Trial Conduct and Reporting
Richard Niederman, Derek Richards, Debora Matthews, Daniel A. Shugars, Helen V Worthington, William C. Shaw
2003· editorial· en· Journal of Dental Research· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
10
citations
affno abstractunlabeled
Choosing Estimands in Clinical Trials: Putting the ICH E9(R1) Into Practice
Bohdana Ratitch, James Bell, Craig Mallinckrodt, Jonathan W. Bartlett, Niti Goel, Geert Molenberghs +3 more
2019· article· en· Therapeutic Innovation & Regulatory Science· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
10
citations
affvenueunlabeled
The Risky Business of Studying Prognosis
Lily Siok Hoon Lim, Brian M. Feldman
2012· letter· en· The Journal of Rheumatology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
10
citations
affunlabeled
Test–retest reliability of the Cost for Patients Questionnaire
Thomas G. Poder, Lucien P. Coulibaly, Abakar Idriss Hassan, Blanchard Conombo, Maude Laberge
2022· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
10
citations
affaboutunlabeled
Medical Services Utilization Patterns by Seniors
Mark W. Rosenberg, Amanda James
2000· article· fr· Canadian Journal on Aging / La Revue canadienne du vieillissement· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Still waiting for the great leap forward
Alan Shiell
2009· letter· en· Health Economics Policy and Law· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
10
citations
aboutno affno abstractunlabeled
Health economic evaluation in complementary medicine
Thomas Ostermann, Frank Krummenauer, Peter Heusser, Katja Boehm
2011· review· en· Complementary Therapies in Medicine· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
10
citations
affvenueunlabeled
Oncology clinical trials nursing: A scoping review
Mai Hong, Alix Hayden, Shelley Raffin Bouchal, Shane Sinclair
2021· review· en· Canadian Oncology Nursing Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Problems of multiplicity
Penelope M. A. Brasher, Rollin Brant
2008· editorial· fr· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations

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