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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.

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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 53 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
A test of prospect theory
David Feeny, Ken Eng
2005· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
7
citations
venueaboutno affunlabeled
Sustainability is not the issue: Let's focus on quality
P. C. Hebert, Joanna Coutts, Noni MacDonald, Matthew B. Stanbrook, K. Flegel
2011· editorial· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
How does HTA addresses current social expectations? An international survey
Hubert Gagnon, Georges-Auguste Legault, Christian Bellemare, Monelle Parent, Pierre Dagenais, Suzanne K.-Bédard +5 more
2020· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
7
citations
affaboutunlabeled
Health utilities in cancer patients
Thomas G. Poder, Nathalie Carrier, Nathalie McFadden, Michel Pavic
2019· article· en· Medicine· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Evidence-based practice in times of drug shortage
Mário L de Lemos, Sally Waignein, Marie de Haan
2015· review· en· Journal of Oncology Pharmacy Practice· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
History of health technology assessment: A commentary
S. Sadasivan
2009· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · stsconsensus · none
7
citations
affunlabeled
Commentary
H. David Banta, Egon Jonsson
2006· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
7
citations
affunlabeled
How does NICE value innovation?
Sarah Garner
2010· article· en· Drug Development Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Economic evaluation in renal disease
Scott Klarenbach
2007· article· en· Journal of Nephrology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
STROBE reporting guidelines for health equity
Eric I. Benchimol, Sinéad Langan
2025· editorial· en· BMJ· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
6
citations
venueno affunlabeled
Varenicline: quantifying the risk
Brian S. Alper
2011· letter· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Observations from the OMERACT Drug Safety Summit, May 2008
Lee S. Simon, C. VIBEKE STRAND, Maarten Boers, Peter Brooks, David Henry, Peter Tugwell
2009· article· en· The Journal of Rheumatology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Responses to Comments of Weis
Na Guo, Carlo A. Marra, Fawziah Marra
2010· letter· en· Health and Quality of Life Outcomes· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Health Care Prioritization: A Clinician's Duty
Lianne Barnieh, Cam Donaldson, Braden Manns
2014· article· en· Canadian Journal of Kidney Health and Disease· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
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