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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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Medical Malpractice and Liability Issues
Retraction
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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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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,259 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.
1,259 works in the cohort · of 4,299,418page 3 of 26

Labels cover 3 of 1,259 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 1,259 of 1,259 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.

fundno affunlabeled
Who owns the information?
John Orchard
2002· review· en· British Journal of Sports Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Tort Reform and Innovation
Alberto Galasso, Hong Luo
2016· report· en· National Bureau of Economic Research· Health Professions
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Professionalism in anesthesia
Homer Yang
2016· review· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Health Professions
machine prediction:candidate · noneconsensus · none
14
citations
aboutno affunlabeled
Complaints against doctors
Paul Kinnersley, Adrian Edwards
2008· editorial· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
13
citations
affaboutunlabeled
Choosing Wisely Canada rhinology recommendations
Neil Arnstead, Yvonne Chan, Shaun Kilty, Ragavan Ganeshathasan, Armin Rahmani, Eric Monteiro
2020· review· en· Journal of Otolaryngology - Head and Neck Surgery· Health Professions
machine prediction:candidate · noneconsensus · none
13
citations
aboutno affunlabeled
Malpractice: Problems and Solutions
Joseph Bernstein
2013· article· en· Clinical Orthopaedics and Related Research· Health Professions
machine prediction:candidate · research_integrityconsensus · none
13
citations
aboutno affunlabeled
Regulating open disclosure: a German perspective
Stuart McLennan, Katja Beitat, Jörg Lauterberg, Jochen Vollmann
2011· article· en· International Journal for Quality in Health Care· Health Professions
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
The independent medical examination
Arthur Ameis, Nathan D. Zasler
2002· review· en· Physical Medicine and Rehabilitation Clinics of North America· Health Professions
machine prediction:candidate · noneconsensus · none
13
citations
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