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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
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 31 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.

venueaboutno affunlabeled
Surgery backlog crisis looming
Wendy Glauser
2020· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Perioperative medicine: why do we care?
Homer Yang
2015· letter· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The elderly in the post-anesthesia care unit
AbdulkareemS Alghamdi, Hisham A. Almuzayyen, Tumul Chowdhury
2023· review· en· Saudi Journal of Anaesthesia· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Continent-wide anaesthesia guideline
Waleed Riad, Frances Chung
2011· article· en· European Journal of Anaesthesiology· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Gastrointestinal surgery
Srikant Patel
2014· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Other
Marie-Christine Taillefer, Hélène Lanctôt, M. Carrier, S. Báelisle, André Denault, Raymond Martineau +2 more
2004· article· en· Journal of Pain· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affno abstractunlabeled
Job shortages in anesthesia: a pro or con?
Eric Siu, Paul K. Tenenbein, Brian P. Kavanagh
2016· editorial· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Future Directions for Geriatric Anesthesiology
Philippe Desmarais, Nathan Herrmann, Fahad Alam, Stephen Choi, Sinziana Avramescu
2019· review· en· Anesthesiology Clinics· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
10.1016/j.yvas.2014.05.033
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations

How this was built: Screen · Findings · About