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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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Journal of Thoracic and Cardiovascular Surgery
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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.

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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.

1,898 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.
1,898 works in the cohort · of 4,299,418page 34 of 38

Labels cover 2 of 1,898 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 1,898 of 1,898 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
Acting on a rare event
Osami Honjo
2015· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Commentary: Are serious adverse events inevitable?
Rizwan A. Manji, Rakesh C. Arora
2020· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Reply: In machine learning, the devil is in the details
Siavash Bolourani, Theodoros P. Zanos, Ping Wang, Mohammad A. Tayebi, Paul C. Lee
2020· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Commentary: Fluoroquinolone antibiotics are antiaortic
David G. Guzzardi, Jameson A. Dundas, Paul W.M. Fedak
2020· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Reply: Nothing ventured, nothing gained
Thibaud Soumagne, Marc Fortin
2021· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Reply to the Editor
Martin F. McKneally
2007· article· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Reply: Going from stable to unstable
Derrick Y. Tam, Stephen E. Fremes
2020· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Discussion
Drs Syed, M.I. Quadri, Masaki Anraku, Valerie W. Rusch
2011· article· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Commentary: Why the Y-graft?
Steven M. Schwartz
2019· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Commentary: Having the right MINDset
Rizwan A. Manji, Rakesh C. Arora
2019· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractRetractiongemma · no categorygpt · no categorymodels agree
Notice of Retraction
Cherrie Abraham, Christos Lioupis
2013· article· en· Journal of Thoracic and Cardiovascular Surgery· Mathematics
machine prediction:candidate · research_integrityconsensus · none
0
citations
affno abstractunlabeled
Going the extra mile
Christoph Haller
2018· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Toronto bridges to successful lung transplantation
Dirk Van Raemdonck, Arne Neyrinck, Robin Vos, Geert M. Verleden
2017· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Revisions to information for authors
Richard D. Weisel
2014· article· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Jostling with jargon
Alden H. Harken, David A. Wood, Frank W. Sellke, Richard D. Weisel
2019· editorial· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Are you ever too old?
Saswata Deb, Stephen E. Fremes
2014· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Just another CABG…
Mario Gaudino, David P. Taggart, Stephen E. Fremes
2019· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
If your hospital has RATS, do not exterminate
Moïshe Liberman
2017· letter· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

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