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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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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.

2,802 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.
2,802 works in the cohort · of 4,299,418page 20 of 57

Labels cover 38 of 2,802 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 2,802 of 2,802 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.

affunlabeled
Waiving confidentiality for the greater good
An‐Wen Chan, Ross Upshur, Jerome Amir Singh, Davina Ghersi, François Chapuis, Douglas G. Altman
2006· review· en· BMJ· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · none
45
citations
affunlabeled
Towards inclusive migrant healthcare
Denise L. Spitzer, Sara Torres, Anthony B. Zwi, Ernest Khalema, Erlinda Castro Palaganas
2019· article· en· BMJ· Psychology
machine prediction:candidate · noneconsensus · none
45
citations
affno abstractunlabeled
Screen all for depression
Mark Sinyor, Jeremy Rezmovitz, Ari Zaretsky
2016· editorial· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
Arthroscopic surgery for knee pain
Teppo L. N. Järvinen, Gordon Guyatt
2016· letter· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
44
citations
affno abstractunlabeled
Effectiveness of antidepressants
James McCormack, Christina Korownyk
2018· letter· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
43
citations
affunlabeled
Is it time to revisit orphan drug policies?
Christopher McCabe, Tania Stafinski, Devidas Menon
2010· letter· en· BMJ· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
Children’s health priorities and interventions
Wilson Were, Bernadette Daelmans, Zulfiqar A Bhutta, Trevor Duke, Rajiv Bahl, Cynthia Boschi-Pinto +3 more
2015· review· en· BMJ· Health Professions
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Asthma in pregnancy
Évelyne Rey, Louis‐Philippe Boulet
2007· review· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Iterative diagnosis
G. Norman, Kevin Barraclough, David Price
2009· article· en· BMJ· Neuroscience
machine prediction:candidate · noneconsensus · none
39
citations
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