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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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Healthcare cost, quality, practices
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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
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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.

1,204 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.
1,204 works in the cohort · of 4,299,418page 11 of 25

Labels cover 31 of 1,204 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 1,204 of 1,204 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.

affaboutno abstractunlabeled
Choosing Wisely Canada recommendations.
Stephanie Klein, Dana Mayer
2017· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affvenueaboutunlabeled
Overuse of Tests and Treatments: Has Canada Made Progress?
Alicia Costante, Xi-Kuan Chen, Alexey Dudevich, Antony Dennis Christy, Lyricy Francis, CH Chui
2023· article· en· Healthcare Quarterly· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Medical good luck and medical bad luck
G. V. Ramesh Prasad
2019· article· en· Journal of Evaluation in Clinical Practice· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
The cornerstone of medical care
Antonio Yaghy
2023· article· en· Canadian Medical Education Journal· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
CLINICAL DECISION MAKING IN PARAMEDICINE
Michael Eby
2017· dissertation· en· MacSphere (McMaster University)· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Possible patient overlap in studies
Sandra Dial, Joseph A. Delaney
2007· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · metaresearchconsensus · none
3
citations
affaboutunlabeled
Making it easier to ‘choose wisely’
Jeremy Friedman, Sanjay Mahant
2017· article· en· Paediatrics & Child Health· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
COVID-19
Steven M. Hollenberg, David R. Janz, May Hua, Mark A. Malesker, Nida Qadir, Bram Rochwerg +7 more
2022· review· en· CHEST Journal· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
‘Choosing Wisely’ culture among Brazilian cardiologists
Luis Correia, Guilherme Brauner Barcellos, Vitor Calixto, André Volschan, José Augusto Barreto‐Filho, Renato D. Lópes +3 more
2018· article· en· International Journal for Quality in Health Care· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
“Choosing Wisely” for cancer care in India
C.S. Pramesh, Harit Chaturvedi, VijayAnand Reddy, Tapan Saikia, Sushmita Ghoshal, Mrinalini Pandit +7 more
2020· article· en· Journal of Cancer Research and Therapeutics· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
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