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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
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
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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 1 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 abstractgemma · metaresearchgpt · metaresearchmodels split
GRADE guidelines 6. Rating the quality of evidence—imprecision
Gordon Guyatt, Andrew D Oxman, Regina Kunz, Jan Brożek, Pablo Alonso‐Coello, David M. Rind +14 more
2011· article· en· Journal of Clinical Epidemiology· Medicine
machine prediction:candidate · metaresearchconsensus · none
2,682
citations
affunlabeled
The Comprehensive Complication Index
Ksenija Slankamenac, Rolf Graf, Jeffrey Barkun, Milo A. Puhan, Pierre-Alain Clavien
2013· article· en· Annals of Surgery· Medicine
machine prediction:candidate · noneconsensus · none
1,729
citations
affunlabeled
Guidelines for Perioperative Care in Cardiac Surgery
Daniel T. Engelman, Walid Ben Ali, Judson B. Williams, Louis P. Perrault, V. Seenu Reddy, Rakesh C. Arora +11 more
2019· review· en· JAMA Surgery· Medicine
machine prediction:candidate · noneconsensus · none
1,161
citations
afffundunlabeled
Myocardial Injury after Noncardiac Surgery
Fernando Botto, Pablo Alonso‐Coello, Matthew T.V. Chan, Juan Carlos Villar, Denis Xavier, Sadeesh Srinathan +254 more
2014· article· en· Anesthesiology· Medicine
machine prediction:candidate · noneconsensus · none
983
citations
fundaboutno affunlabeled
Aspirin in Patients Undergoing Noncardiac Surgery
P.J. Devereaux, Marko Mrkobrada, Daniel I. Sessler, Kate Leslie, Pablo Alonso‐Coello, Andrea Kurz +40 more
2014· article· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
934
citations
affno abstractunlabeled
Challenges in evaluating surgical innovation
Patrick Ergina, Jonathan Cook, Jane Blazeby, Isabelle Boutron, Pierre‐Alain Clavien, Barnaby C Reeves +1 more
2009· article· en· The Lancet· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
652
citations
affno abstractunlabeled
Perioperative Myocardial Infarction
Giora Landesberg, W. Scott Beattie, Morris Mosseri, Allan S. Jaffe, Joseph S. Alpert
2009· review· en· Circulation· Medicine
machine prediction:candidate · noneconsensus · none
464
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
machine prediction:candidate · metaresearchconsensus · metaresearch
428
citations
aboutno affunlabeled
World Gastroenterology Organisation Global Guidelines
Francisco Guarner, Aamir Ghafoor Khan, James Garisch, Rami Eliakim, Alfred Gangl, Alan Thomson +10 more
2012· article· en· Journal of Clinical Gastroenterology· Medicine
machine prediction:candidate · noneconsensus · none
419
citations
fundno affunlabeled
Age of patients undergoing surgery
Alexander J. Fowler, Tom Abbott, John R. Prowle, Rupert M. Pearse
2019· article· en· British journal of surgery· Medicine
machine prediction:candidate · noneconsensus · none
413
citations
affunlabeled
ACC/AHA Guideline Update for Perioperative Cardiovascular Evaluation for Noncardiac Surgery—Executive Summary A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Update the 1996 Guidelines on Perioperative Cardiovascular Evaluation for Noncardiac Surgery)
Kim A. Eagle, Peter B. Berger, Hugh Calkins, Bernard Chaitman, Gordon A. Ewy, Kirsten E. Fleischmann +17 more
2002· article· en· Circulation· Medicine
machine prediction:candidate · noneconsensus · none
408
citations
afffundno abstractunlabeled
Perioperative Management of Antithrombotic Therapy
James D. Douketis, Alex C. Spyropoulos, M. Hassan Murad, Juan I. Arcelus, William E. Dager, Andrew Dunn +8 more
2022· article· en· CHEST Journal· Medicine
machine prediction:candidate · noneconsensus · none
401
citations
fundaboutno affunlabeled
Clonidine in Patients Undergoing Noncardiac Surgery
P.J. Devereaux, Daniel I. Sessler, Kate Leslie, Andrea Kurz, Marko Mrkobrada, Pablo Alonso‐Coello +39 more
2014· article· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
390
citations

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