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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.

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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
Abstract
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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 66 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.

venueno affno abstractunlabeled
Live Surgery
John Russell Taylor
2004· article· en· Canadian Journal of Plastic Surgery· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Critical Care
Wendy Sligl
2015· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Précis d'anesthésie et de réanimation Ed. 5
Joanne Guay, René Martin, Benoît Plaud
2012· book· fr· Presses de l'Université de Montréal PUM eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Rendement élevé dans le domaine chirurgical
Chad G. Ball, Edward J. Harvey, Mohit Bhandari, S. Morad Hameed
2024· editorial· fr· Canadian Journal of Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
In Reply
Michael Walsh, P.J. Devereaux, Daniel I. Sessler
2014· letter· en· Anesthesiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
This Month in Anesthesiology
2023· article· en· Anesthesiology· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1885-9046(09)27040-1
2000· book-chapter· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Early outcomes of cardiac surgery in octogenarians
Linda M. Harris, Jacek Karski, George Djaiani, Wei Xu, Ludwik Fedorko
2006· article· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorial introductions
Van Aken, Hugo, Paul M. Heerdt, Manuel L. Fontes, Chung, Frances F.
2017· article· en· Current Opinion in Anaesthesiology· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About