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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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Genetics and Physical Performance
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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

342 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.
342 works in the cohort · of 4,299,418page 2 of 7

Labels cover 0 of 342 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 342 of 342 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.

fundno affunlabeled
GENES IN SPORT AND DOPING
Andrzej Pokrywka, Paweł Kaliszewski, Edyta Majorczyk, Agnieszka Zembroń-Łacny
2013· review· en· Biology of Sport· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
Familial Resemblance for Muscle Phenotypes in the HERITAGE Family Study
J. Rico‐Sanz, Tuomo Rankinen, Denis R. Joanisse, Arthur S. Leon, James S. Skinner, Jack H. Wilmore +2 more
2003· article· en· Medicine & Science in Sports & Exercise· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
Self-regulation and the <i>foraging</i> gene ( <i>PRKG1</i> ) in humans
Andriy A. Struk, Jhotisha Mugon, Andrea Huston, Abigail A. Scholer, Gertraud Stadler, E. Tory Higgins +2 more
2019· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
42
citations
venueno affunlabeled
Non-exhaustive test for aerobic capacity determination in swimming rats
Fúlvia de Barros Manchado-Gobatto, Cláudio Alexandre Gobatto, Fabrí­cio Azevedo Voltarelli, María Alice Rostom de Mello
2006· article· en· Applied Physiology Nutrition and Metabolism· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
39
citations
fundno affno abstractunlabeled
Genetic Testing and Sports Medicine Ethics
Mike McNamee, Arno Müller, I.M. van Hilvoorde, Søren Holm
2009· review· en· Sports Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
39
citations
affunlabeled
Advances in Exercise, Fitness, and Performance Genomics in 2014
Ruth J. F. Loos, James M. Hagberg, Louis Përusse, Stephen M. Roth, Mark A. Sarzynski, Bernd Wolfarth +2 more
2015· review· en· Medicine & Science in Sports & Exercise· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
38
citations
affunlabeled
Advances in Exercise, Fitness, and Performance Genomics in 2013
Bernd Wolfarth, Tuomo Rankinen, James M. Hagberg, Ruth J. F. Loos, Louis Përusse, Stephen M. Roth +2 more
2014· review· en· Medicine & Science in Sports & Exercise· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
37
citations
affno abstractunlabeled
Keeping Pace with ACE
Pei Wang, Matthew Fedoruk, Jim L. Rupert
2008· review· en· Sports Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
30
citations
venueno affunlabeled
Is there a gender difference between <i>ACE</i> gene and race distance?
Seok-Ki Min, K Takahashi, Hideaki Ishigami, Kenji Hiranuma, Masuhiko Mizuno, Takashi Ishii +2 more
2009· article· en· Applied Physiology Nutrition and Metabolism· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
28
citations
affunlabeled
Hybridization in Sunfish Influences the Muscle Metabolic Phenotype
R. Davies, Katherine E. Mathers, Angela Hume, Katharina Bremer, Y. Wang, Christopher D. Moyes
2012· article· en· Physiological and Biochemical Zoology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Age-dependent effect of the MAOA gene on childhood physical aggression
Jean‐Baptiste Pingault, Sylvana M. Côté, Linda Booij, Isabelle Ouellet‐Morin, Natalie Castellanos‐Ryan, Frank Vitaro +2 more
2012· letter· en· Molecular Psychiatry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
21
citations

How this was built: Screen · Findings · About