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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 38 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.

affno abstractunlabeled
Syndemic Interactions and Cardiovascular Risk Factors
Jeremy I. Schwartz, Isaac Ssinabulya, James Kayima, Chris T. Longenecker, Heather J. Ross, Emily Mendenhall
2025· editorial· en· Journal of the American College of Cardiology· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Asymptomatic Severe Aortic Stenosis
Guillaume Marquis‐Gravel, Philippe Généreux
2016· letter· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
CABG Versus PCI for Complex Coronary Disease
Michael E. Farkouh
2017· letter· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
WOMEN-ONLY CARDIAC REHABILITATION DELIVERY AROUND THE WORLD
Karam Turk-Adawi, Marta Supervía, Francisco Lopez‐Jimenez, Anfal Adawi, Masoumeh Sadeghi, Sherry L. Grace
2020· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
IMPROVING SURVIVAL BY TARGETING ERRORS
Frédéric Jacques, Osami Honjo, Michael-Alice Moga, Rosario Francesco Grasso, Kenji Baba, Edward Hickey +5 more
2012· article· en· Journal of the American College of Cardiology· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Beyond LDL
Dirk Blom, Daniel Gaudet
2025· editorial· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Endocarditis Therapy
Brad Spellberg, Todd C. Lee, Bassam Ghanem, Emily G. McDonald
2024· editorial· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
TCT-787 Preliminary Clinical Experience using the SAPIEN 3 device
Danny Dvir, Marco Barbanti, Robert De Larochellière, Daniel Doyle, Melanie Freeman, Henrique Barbosa Ribeiro +2 more
2013· article· en· Journal of the American College of Cardiology· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
2
citations

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