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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 and exercise physiology
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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.

2,624 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,624 works in the cohort · of 4,299,418page 2 of 53

Labels cover 7 of 2,624 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 2,624 of 2,624 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.

affunlabeled
Determinants of maximal oxygen uptake in severe acute hypoxia
José A. L. Calbet, Robert Boushel, Göran Rådegran, Hans Peter Söndergaard, Peter D. Wagner, Bengt Saltin
2003· article· en· American Journal of Physiology-Regulatory, Integrative and Comparative Physiology· Medicine
machine prediction:candidate · noneconsensus · none
248
citations
affunlabeled
Exercise Limitation in Health and Disease
Norman L. Jones, Kieran J. Killian
2000· review· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
221
citations
affunlabeled
Exercise Intensity Thresholds
Daniel A. Keir, Federico Y. Fontana, Taylor C. Robertson, Juan M. Murias, Donald H. Paterson, John M. Kowalchuk +1 more
2015· article· en· Medicine & Science in Sports & Exercise· Medicine
machine prediction:candidate · noneconsensus · none
198
citations
affunlabeled
Resistance Training and Type 2 Diabetes
Neil D. Eves, Ronald C. Plotnikoff
2006· review· en· Diabetes Care· Medicine
machine prediction:candidate · noneconsensus · none
191
citations
affno abstractunlabeled
Exercise Training as Therapy for Heart Failure
Jerome L. Fleg, Lawton S. Cooper, Barry A. Borlaug, Mark J. Haykowsky, William E. Kraus, Benjamin D. Levine +6 more
2015· review· en· Circulation Heart Failure· Medicine
machine prediction:candidate · noneconsensus · none
166
citations

How this was built: Screen · Findings · About