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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 Clinical Epidemiology
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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.

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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.

1,510 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.
1,510 works in the cohort · of 4,299,418page 14 of 31

Labels cover 96 of 1,510 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 1,510 of 1,510 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 abstractgemma · metaresearchgpt · metaresearchmodels split
A scoping review and survey provides the rationale, perceptions, and preferences for the integration of randomized and nonrandomized studies in evidence syntheses and GRADE assessments
Carlos A. Cuello‐García, Rebecca L. Morgan, Jan Brożek, Nancy Santesso, Jos Verbeek, Kris Thayer +2 more
2018· review· en· Journal of Clinical Epidemiology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
31
citations
afffundno abstractunlabeled
Reporting of randomized factorial trials was frequently inadequate
Brennan C Kahan, Michael Tsui, Vipul Jairath, Anna Mae Scott, Douglas G. Altman, Elaine Beller +1 more
2019· review· en· Journal of Clinical Epidemiology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
31
citations
affno abstractunlabeled
An unadjusted NNT was a moderately good predictor of health benefit
Christopher Chong, George Tomlinson, Lisa Chodirker, Nassi Figdor, Mark Uster, Gary Naglie +1 more
2006· review· en· Journal of Clinical Epidemiology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
30
citations
affunlabeled
Comparative Effectiveness Research: Challenges for Medical Journals
Harold C. Sox, Mark Helfand, Jeremy Grimshaw, Kay Dickersin, David Tovey, J. André Knottnerus +1 more
2010· article· en· Journal of Clinical Epidemiology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
29
citations
affno abstractunlabeled
Problems of HRQL assessment
Eric Wong, Lisa Cronin, Lauren E. Griffith, E. Jan Irvine, Gordon H Guyatt
2001· article· en· Journal of Clinical Epidemiology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
27
citations

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