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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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Journal of Evaluation in Clinical Practice
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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.

615 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.
615 works in the cohort · of 4,299,418page 7 of 13

Labels cover 8 of 615 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 615 of 615 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.

afffundunlabeled
Gender bias in cardiovascular advertisements
Sofia B. Ahmed, Sherry L. Grace, Henry T. Stelfox, George Tomlinson, Angela M. Cheung
2004· article· en· Journal of Evaluation in Clinical Practice· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Decision curve analysis based on summary data
Iztok Hozo, Gordon Guyatt, Benjamin Djulbegović
2023· article· en· Journal of Evaluation in Clinical Practice· Medicine
machine prediction:candidate · metaresearchconsensus · none
11
citations
affunlabeled
Can doctors be taught virtue?
Ariel Lefkowitz, Dafna Meitar, Ayelet Kuper
2020· article· en· Journal of Evaluation in Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Virtue, progress and practice
Michael Loughlin, Robyn Bluhm, Stephen Buetow, Ross Upshur, Maya J. Goldenberg, Kirstin Borgerson +1 more
2011· editorial· en· Journal of Evaluation in Clinical Practice· Health Professions
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
The feasibility of e‐learning as a quality improvement tool
Daniel Kobewka, Chantal Backman, Paul Hendry, Stanley J. Hamstra, Kathryn N. Suh, Catherine Code +1 more
2014· article· en· Journal of Evaluation in Clinical Practice· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractgemma · metaresearchgpt · no categorymodels split
Towards scientific medicine: an information‐age outlook
Olli S. Miettinen, Lucas M. Bachmann, Johann Steurer
2008· review· en· Journal of Evaluation in Clinical Practice· Health Professions
machine prediction:candidate · noneconsensus · none
10
citations

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