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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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Cardiac, Anesthesia and Surgical Outcomes
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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,610 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.
3,610 works in the cohort · of 4,299,418page 14 of 73

Labels cover 33 of 3,610 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 3,610 of 3,610 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.

affno abstractunlabeled
It Is Time to Revise the Cochrane Criteria
Janice M. Morse
2006· editorial· en· Qualitative Health Research· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
16
citations
affvenueunlabeled
Awareness Under General Anesthesia
Luke Y. C. Chen, Romesh Shukla
2003· article· en· Dalhousie Medical Journal· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Utility of Surgery for Ruptured Abdominal Aortic Aneurysm
Sani Laukontaus, Ville Pettilä, Ilkka Kantonen, Jarmo Salo, Arto Öhinmaa, Mauri Lepäntalo
2005· article· en· Annals of Vascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Pediatric anesthesia in Europe: Variations within uniformity
Jurgen C. de Graaff, Peter Frykholm, Thomas Engelhardt, Ehrenfried Schindler, Tamás Kövesi, Dušica Simić +9 more
2024· review· en· Pediatric Anesthesia· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Guidelines to the Practice of Anesthesia Revised Edition 2011
Richard N. Merchant, Craig Bosenberg, Karen Brown, Daniel Chartrand, Steven Dain, Joy Dobson +5 more
2010· article· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Changing trends in emergency coronary bypass surgery
Manjula Maganti, Stephanie J. Brister, Terrence M. Yau, Susan E. Collins, Mitesh Badiwala, Vivek Rao
2011· article· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Coronary Artery Bypass Graft Surgery
Jo‐Ann V. Sawatzky, Barbara J. Naimark
2009· article· en· The Journal of Cardiovascular Nursing· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Impact of age on anaesthesiologists’ competence
Marilù Giacalone, Cédrick Zaouter, Stéfano Mion, Thomas M. Hemmerling
2016· review· en· European Journal of Anaesthesiology· Medicine
machine prediction:candidate · noneconsensus · none
15
citations

How this was built: Screen · Findings · About