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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
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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 20 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.

afffundno abstractunlabeled
The Risk GP Model: The standard model of prediction in medicine
Jonathan Fuller, Luis J. Flores
2015· article· en· Studies in History and Philosophy of Science Part C Studies in History and Philosophy of Biological and Biomedical Sciences· Economics, Econometrics and Finance
machine prediction:candidate · stsconsensus · none
38
citations
affaboutunlabeled
HEALTH TECHNOLOGY ASSESSMENT IN CANADA
Devidas Menon, Leigh-Ann Topfer
2000· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
37
citations
affaboutno abstractunlabeled
Health-related quality of life measurements in elderly Canadians with osteoporosis compared to other chronic medical conditions: a population-based study from the Canadian Multicentre Osteoporosis Study (CaMos)
Anna M. Sawka, Lehana Thabane, Αλεξάνδρα Παπαϊωάννου, Amiram Gafni, George Ioannidis, Emmanuel Papadimitropoulos +5 more
2005· article· en· Osteoporosis International· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
The threshold model revisited
Benjamin Djulbegović, Iztok Hozo, Thomas Mayrhofer, Jef Van den Ende, Gordon Guyatt
2018· article· en· Journal of Evaluation in Clinical Practice· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
37
citations
venueno affno abstractunlabeled
Time to give up on expanded scope of practice
Ross T. Tsuyuki, Sherilyn K. D. Houle, Hiroshi Okada
2018· editorial· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
37
citations
afffundunlabeled
Exclusion Criteria in National Health State Valuation Studies
Lidia Engel, Nick Bansback, Stirling Bryan, Mary M. Doyle‐Waters, David G. T. Whitehurst
2015· review· en· Medical Decision Making· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
36
citations
affunlabeled
Randomized controlled trials – The what, when, how and why
Luis H. Braga, Forough Farrokhyar, Muhammet İrfan Dönmez, Caleb P. Nelson, Bernhard Haid, Massimo Garriboli +8 more
2024· review· en· Journal of Pediatric Urology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
36
citations
affno abstractunlabeled
The Functional Assessment of Cancer Therapy Eight Dimension (FACT-8D), a Multi-Attribute Utility Instrument Derived From the Cancer-Specific FACT-General (FACT-G) Quality of Life Questionnaire: Development and Australian Value Set
Madeleine King, Richard Norman, Rebecca Mercieca‐Bebber, Daniel Costa, Helen McTaggart‐Cowan, Stuart Peacock +14 more
2021· article· en· Value in Health· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
36
citations

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