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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
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
fundfunder
venuejournal
aboutaboutness

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
Evidence
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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 48 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.

aboutno affunlabeled
OA mandate at the OICR
Peter Suber
2008· preprint· en· Medicine
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
0
citations
affno abstractgemma · metaresearchgpt · no categorymodels split
Cluster-Randomized Trials in Surgery
Kyle Gouveia, Sofia Bzovsky, Sheila Sprague
2025· book-chapter· en· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
Anesthesia Literature Review
Timothy J. Brennan
2011· article· en· Anesthesiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1553-3212(05)71283-8
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Erratum
James G. Wright, Thomas A. Einhorn, James D. Heckman
2006· erratum· en· Journal of Bone and Joint Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
ABA MAINTENANCE OF CERTIFICATION
2009· article· en· Anesthesiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
In collaboration with the canadian critical care society, the canadian journal of Anesthesia is proud to publish the best posters presented at the Toronto critical care medicine symposium 2004 (adult and pediatric) held in Toronto, Ontario, october 21-october 23, 2004
DR Doherty, IT Sutcliffe, Jerry S. Shih, D Stanimirovic, R Suppes, H Gulati +29 more
2005· article· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Predicting massive blood loss in cardiac surgery
Rachel O’Farrell, Keyvan Karkouti
2005· article· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Pediatric Cardiac Anesthesia Handbook
Vannessa Chin, David Faraoni
2018· article· fr· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About