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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
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 33 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 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
affunlabeled
Herziene richtlijn 'Postoperatieve pijn'
P. L. Houweling, Marja Molag, Regina L. M. van Boekel, Serge J. C. Verbrugge, Ingrid M.M. van Haelst, Markus W. Hollmann
2013· article· nl· Data Archiving and Networked Services (DANS)· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Deep anaesthesia
Salome Dell‐Kuster, Luzius A. Steiner, Jim Young
2020· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
10.1016/j.ysur.2015.03.235
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations
affaboutno abstractunlabeled
Erratum to: Drug shortages in Canadian anesthesia: a national survey
Richard Hall, Gregory L. Bryson, Gordon Flowerdew, David Neilipovitz, Agnieszka Grabowski-Comeau, Alexis F. Turgeon
2013· erratum· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Increasing Operating Room Throughput
Alan Macfarlane, Nizar N. Mahomed, Richard Brull
2009· letter· en· Anesthesiology· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Simulation of Intraoperative Pacemaker Failure
Peter Schulman, Marc A. Rozner
2014· letter· en· Simulation in Healthcare The Journal of the Society for Simulation in Healthcare· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Measuring outcome after pediatric day case anesthesia
Valerie Milot-Roy, Erica Amari, J. Mark Ansermino
2006· article· en· Canadian Journal of Anesthesia/Journal canadien d anesthésie· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Authors' reply
Hassan Vatanparast, Zohreh Sabbagh
2009· review· en· Nutrition Reviews· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations

How this was built: Screen · Findings · About