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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 21 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.

afffundunlabeled
The Heart Team for Coronary Revascularization Decisions
Thomas S. Metkus, Theresa M. Beckie, Mauricio G. Cohen, Stephen E. Fremes, Roxana Mehran, Frank W. Sellke +2 more
2022· article· en· JACC Case Reports· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Does variable training lead to variable care?
Jennifer Weller, Michael Sullivan, Josephine Boland
2017· letter· en· British Journal of Anaesthesia· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Cardiac troponin testing in cardiac surgery
Peter A. Kavsak, Emilie P. Belley‐Côté, Richard Whitlock, André Lamy
2023· editorial· en· Expert Review of Cardiovascular Therapy· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Late Results of the Warm Heart Trial
Stephen E. Fremes, Miguel Tamariz, Dan Abramov, George T. Christakis, Jeri Sever, Kathy Sykora +3 more
2000· article· en· Circulation· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
CARDIoGRAM celebrates its 10th Anniversary
Heribert Schunkert, Jeanette Erdmann, Sir Nilesh J Samani
2019· article· en· European Heart Journal· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affaboutno abstractunlabeled
A call to action—anesthesia assistants in Canada
Lucie Filteau, Roanne Preston, Katherine M. Seligman
2024· editorial· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Cancer and the risk of perioperative arterial ischaemic events
Babak B. Navi, Cenai Zhang, Jed H. Kaiser, Vanessa Liao, Mary Cushman, Scott E. Kasner +7 more
2023· article· en· European Heart Journal - Quality of Care and Clinical Outcomes· Medicine
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About