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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 the American College of Cardiology
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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.

3,458 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.
3,458 works in the cohort · of 4,299,418page 68 of 70

Labels cover 3 of 3,458 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 3,458 of 3,458 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.

affaboutno abstractunlabeled
RENAL FUNCTION-BASED CONTRAST DOSING TO DEFINE “PROGNOSTIC” CONTRAST DOSE LIMITS FOR PERCUTANEOUS CORONARY INTERVENTION – THE PROGNOSTIC IMPLICATION OF THE CONTRAST VOLUME: GLOMERULAR FILTRATION RATIO IN 44,082 PATIENTS FROM THE BRITISH COLUMBIA CARDIAC REGISTRY
Navin Chandra, Imad Nadra, Sean Hardiman, Lillian Ding, Anthony Fung, Eve Aymong +5 more
2017· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
INSIGHTS FROM REGISTRY DATA: WHY DO BLEEDING HEARTS DIE?
Cara Hendry, Christian Janßen, Brian Berry, Ronald Carere, Anthony Fung, Gerald J. Simkus +2 more
2014· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Physiologic Straws in the Wind
Richard Lewanczuk, Paul W. Armstrong
2007· letter· en· Journal of the American College of Cardiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
HEART FAILURE AFTER LABORATORY CONFIRMED INFLUENZA INFECTION
Phyllis Sin, Muhammad Ilyas Siddiqui, R Woźniak, Jessica Minion, Stephen Sanche, Jacob A. Udell +2 more
2020· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
THE REDUCING UNNECESSARY NON-INVASIVE TESTING (RUNIT) PROTOCOL
Benjamin Leis, Idris Bare, Kirsten Marshall, Lori Penner, Elise Buschau, Cassandra Keith +2 more
2020· article· en· Journal of the American College of Cardiology· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Reply
Kwan-Leung Chan, Jean G. Dumesnil, Bibiana C̆ujec, Anthony Sanfilippo, John Jue, Michèle Turek +2 more
2004· article· en· Journal of the American College of Cardiology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
TCT-563 Fusion of intravascular ultrasound and X-ray angiography does not allow accurate evaluation of the endothelial shear stress patterns and neointimal distribution after bioresorbable scaffold implantation. A comparison with optical coherence tomography-derived reconstructions
Christos V. Bourantas, Michail I. Papafaklis, Λάμπρος Λάκκας, Yoshinobu Onuma, Roberto Diletti, Takashi Muramatsu +9 more
2013· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

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