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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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Clinical practice guidelines implementation
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.

2,993 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,993 works in the cohort · of 4,299,418page 1 of 60

Labels cover 42 of 2,993 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 2,993 of 2,993 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
Going from evidence to recommendations
Gordon Guyatt, Andrew D Oxman, Regina Kunz, Yngve Falck–Ytter, Gunn Elisabeth Vist, Alessandro Liberati +1 more
2008· article· en· BMJ· Medicine
machine prediction:candidate · metaresearchconsensus · none
1,791
citations
affno abstractunlabeled
J Soc Gynecol Investig
Josie McConnell, P Shelley, S Heales, C John, R Jensen, I Khan +2 more
2005· book-chapter· en· Unknown Publisher eBooks· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1,239
citations
fundno affno abstractunlabeled
Global Guideline for Type 2 Diabetes
2014· article· en· Diabetes Research and Clinical Practice· Medicine
machine prediction:candidate · noneconsensus · none
1,068
citations
affunlabeled
Users' Guides to the Medical Literature
Gordon H. Guyatt, Robert Haynes, Roman Z. Jaeschke, Lee A. Green, C. David Naylor, Mark C. Wilson +2 more
2000· article· en· JAMA· Medicine
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
750
citations
aboutno affno abstractunlabeled
Canadian Journal Of Surgery
2014· article· en· Wilderness and Environmental Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
592
citations
affno abstractunlabeled
Living systematic reviews: 4. Living guideline recommendations
Elie A. Akl, Joerg J Meerpohl, Julian Elliott, Lara A Kahale, Holger J. Schünemann, Thomas Agoritsas +123 more
2017· review· en· Journal of Clinical Epidemiology· Medicine
machine prediction:candidate · metaresearchconsensus · none
339
citations
aboutno affunlabeled
Canadian Task Force on Preventive Health Care
We’re back, Richard Birtwhistle, Ccfp Fcfp, Kevin Pottie, MClSc, Elizabeth Shaw +12 more
2012· article· en· Medicine
machine prediction:candidate · noneconsensus · none
306
citations
affno abstractunlabeled
Use of evidence in WHO recommendations
Andrew D Oxman, John N. Lavis, Atle Fretheim
2007· article· en· The Lancet· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
285
citations

How this was built: Screen · Findings · About