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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 Effects of Exercise
Retraction
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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.

1,085 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.
1,085 works in the cohort · of 4,299,418page 1 of 22

Labels cover 3 of 1,085 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 1,085 of 1,085 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
Defining Athletes and Exercisers
James McKinney, Jane Velghe, Johanna Fee, S. Isserow, Jonathan A. Drezner
2018· editorial· en· The American Journal of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
183
citations
aboutno affno abstractunlabeled
Recommendations on the Use of Multimodality Cardiovascular Imaging in Young Adult Competitive Athletes: A Report from the American Society of Echocardiography in Collaboration with the Society of Cardiovascular Computed Tomography and the Society for Cardiovascular Magnetic Resonance
Aaron L. Baggish, Robert W. Battle, Timothy A. Beaver, William L. Border, Pamela S. Douglas, Christopher M. Kramer +6 more
2020· article· en· Journal of the American Society of Echocardiography· Medicine
machine prediction:candidate · noneconsensus · none
151
citations
affunlabeled
Apoptosis in Heart and Skeletal Muscle
Andy J. Primeau, Peter J. Adhihetty, David A. Hood
2002· review· en· Canadian Journal of Applied Physiology· Medicine
machine prediction:candidate · noneconsensus · none
146
citations
affno abstractunlabeled
Cardiovascular Magnetic Resonance for Patients With COVID-19
Steffen E. Petersen, Matthias G. Friedrich, Tim Leiner, Matthew D. Elias, Vanessa M. Ferreira, Maximilian Fenski +19 more
2021· review· en· JACC. Cardiovascular imaging· Medicine
machine prediction:candidate · noneconsensus · none
128
citations
afffundno abstractunlabeled
Arrhythmogenic Right Ventricular Cardiomyopathy
Andrew D. Krahn, Arthur A.M. Wilde, Hugh Calkins, André La Gerche, Julia Cadrin‐Tourigny, Jason D. Roberts +1 more
2022· review· en· JACC. Clinical electrophysiology· Medicine
machine prediction:candidate · noneconsensus · none
126
citations

How this was built: Screen · Findings · About