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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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Cardiac Health and Mental Health
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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.

2,683 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.
2,683 works in the cohort · of 4,299,418page 13 of 54

Labels cover 15 of 2,683 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 2,683 of 2,683 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.

afffundno abstractunlabeled
Observed Hostility and the Risk of Incident Ischemic Heart Disease
Jonathan Newman, Karina W. Davidson, Jonathan A. Shaffer, Joseph E. Schwartz, William F. Chaplin, Susan Kirkland +1 more
2011· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Depression and Coronary Heart Disease
Nancy Frasure‐Smith, François Lespérance
2005· article· en· Current Directions in Psychological Science· Medicine
machine prediction:candidate · noneconsensus · none
31
citations
afffundunlabeled
International Charter on Cardiovascular Prevention and Rehabilitation
Sherry L. Grace, Darren E. R. Warburton, James A. Stone, Bonnie Sanderson, Neil Oldridge, Jennifer Jones +2 more
2013· article· en· Journal of Cardiopulmonary Rehabilitation and Prevention· Medicine
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Standards for cardiac telerehabilitation
Martijn Scherrenberg, Maarten Falter, Ana Abreu, Suleman Aktaa, Ștefan Busnatu, Rubén Casado-Arroyo +9 more
2025· article· en· European Heart Journal· Medicine
machine prediction:candidate · noneconsensus · none
31
citations
affaboutunlabeled
Cardiac Rehabilitation Quality Improvement
Mahshid Moghei, Paul Oh, Caroline Chessex, Sherry L. Grace
2019· review· en· Journal of Cardiopulmonary Rehabilitation and Prevention· Medicine
machine prediction:candidate · noneconsensus · none
31
citations
affvenueunlabeled
Panic in the Emergency Room
Patrick Bruce Lynch, Kim M. Galbraith
2003· article· en· The Canadian Journal of Psychiatry· Medicine
machine prediction:candidate · noneconsensus · none
31
citations
afffundaboutunlabeled
Facilitators and Barriers of Heart Surgery Discharge
Jennifer Lapum, Suzanne Fredericks, Linda Liu, Terrence M. Yau, Bruktawit Retta, Vaska M. Jones +1 more
2015· article· en· The Journal of Cardiovascular Nursing· Medicine
machine prediction:candidate · noneconsensus · none
30
citations
afffundaboutunlabeled
Cardiac rehabilitation services in Ontario
Peter A. Polyzotis, Yongyao Tan, Peter L. Prior, Paul Oh, Terry Fair, Sherry L. Grace
2012· article· en· Journal of Cardiovascular Medicine· Medicine
machine prediction:candidate · noneconsensus · none
30
citations
afffundvenueno abstractunlabeled
Provocative Issues in Heart Disease Prevention
Martin Juneau, D. Hayami, Mathieu Gayda, Sébastien Lacroix, Anil Nigam
2014· review· en· Canadian Journal of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
30
citations

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