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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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Cardiovascular Function and Risk Factors
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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
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venuejournal
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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.

2,130 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.
2,130 works in the cohort · of 4,299,418page 22 of 43

Labels cover 3 of 2,130 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 2,130 of 2,130 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 affunlabeled
Diastolic heart failure
Jonathan R. Dalzell, Chandler E. Jackson
2009· letter· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Boosting Cardiac Color Doppler Frame Rates With Deep Learning
Julia Puig, Denis Friboulet, Hang Jung Ling, François Varray, Michael Mougharbel, Jonathan Porée +3 more
2024· article· en· IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Forecasting Heart Failure Risk in Diabetes
Subodh Verma, Ambarish Pandey, Deepak L. Bhatt
2022· letter· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Ventricular Torsion in Young Patients With Single-Ventricle Anatomy
Michael Grattan, Luc Mertens, Lars Grosse‐Wortmann, Mark K. Friedberg, Barbara Cifra, Andréea Dragulescu
2018· article· en· Journal of the American Society of Echocardiography· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Diabetes and Myocardial Fibrosis
Kim A. Connelly, Bradley Sarak
2022· letter· en· JACC. Cardiovascular imaging· Medicine
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About