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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 4 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Giving feedback in clinical settings
Peter Cantillon, Joan Sargeant
2008· article· en· BMJ· Medicine
distilled prediction:candidate · noneconsensus · none
460
citations
affunlabeled
Validity of composite end points in clinical trials
Víctor M. Montori, Gaietà Permanyer-Miralda, Ignacio Ferreira‐González, Jason W. Busse, Valeria Pacheco‐Huergo, Dianne Bryant +8 more
2005· review· en· BMJ· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_broad+insufficient_payloadconsensus · metaresearch+metaepi_broad+insufficient_payload
435
citations
affunlabeled
Why use theories in qualitative research?
Scott Reeves, Mathieu Albert, Ayelet Kuper, Brian Hodges
2008· article· en· BMJ· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
434
citations
affunlabeled
When and how to update systematic reviews: consensus and checklist
Paul Garner, Sally Hopewell, Jackie Chandler, Harriet MacLehose, Holger J. Schünemann, Elie A. Akl +19 more
2016· article· en· BMJ· Decision Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · metaresearch+insufficient_payload
429
citations
affunlabeled
Need for expertise based randomised controlled trials
P.J. Devereaux, Mohit Bhandari, Víctor M. Montori, Salim Yusuf, David L. Sackett, Claudio S. Cinà +5 more
2005· review· en· BMJ· Medicine
distilled prediction:candidate · metaresearch+metaepi_narrow+metaepi_broadconsensus · metaepi_broad
428
citations
afffundunlabeled
Revisiting the timetable of tuberculosis
Marcel A. Behr, Paul H. Edelstein, Lalita Ramakrishnan
2018· article· en· BMJ· Medicine
distilled prediction:candidate · noneconsensus · none
427
citations
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