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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 3 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.

affunlabeled
Skeletal Muscle - one year on
David J. Glass, Kevin P. Campbell, Michael A. Rudnicki
2012· article· en· Skeletal Muscle· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
17
citations
afffundunlabeled
HFE Genotype and Endurance Performance in Competitive Male Athletes
Drishti Thakkar, Marc Sicova, Nanci S. Guest, Bibiana García‐Bailo, Ahmed El‐Sohemy
2020· article· en· Medicine & Science in Sports & Exercise· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
15
citations
fundno affunlabeled
Sports Science and Human Health - Different Approaches
Daniel A. Marinho, Henrique P. Neiva, Christopher P. Johnson, NAWAZ MOHAMUDALLY
2019· book· en· IntechOpen eBooks· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
14
citations
aboutno affunlabeled
A Systematic Review of the Genetic Predisposition to Injury in Football
A. McAuley, David C. Hughes, Loukia Tsaprouni, Ian Varley, Bruce Suraci, Thomas R. Roos +3 more
2022· review· en· Journal of Science in Sport and Exercise· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
14
citations
fundno affunlabeled
MSTN mRNA After Varying Exercise Modalities in Humans
T. Schiffer, S. Geisler, Billy Sperlich, Heiko K. Strüder
2011· article· en· International Journal of Sports Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Innate talent in sport
Joseph Baker, Nick Wattie
2018· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Nature versus Nurture in Determining Athletic Ability
Tom D. Brutsaert, Esteban J. Parra
2009· article· en· Medicine and sport science/Medicine and sport· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations
venueno affunlabeled
Lactate minimum underestimates the maximal lactate steady-state in swimming mice
Natália de Almeida Rodrigues, Adriana Souza Torsoni, Thaís de Fante, Ivan Gustavo Masselli dos Reis, Cláudio Alexandre Gobatto, Fúlvia de Barros Manchado-Gobatto
2016· article· en· Applied Physiology Nutrition and Metabolism· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
9. Growth Status of Olympic Athletes Less than 18 Years of Age
Robert M. Malina, Bertis B. Little, Claude Bouchard, J. E. Lindsay Carter, P. C. R. Hughes, Detlef Kunze +1 more
2015· book-chapter· en· Medicine and sport science/Medicine and sport· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
A DNA-based method for detecting homologous blood doping
Irina Manokhina, James L. Rupert
2013· article· en· Analytical and Bioanalytical Chemistry· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
A century of exercise physiology: key concepts in …
Michael I. Lindinger, Susan A. Ward
2021· editorial· en· European Journal of Applied Physiology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
9
citations
venueno affno abstractunlabeled
Book reviews
2011· article· en· Applied Physiology Nutrition and Metabolism· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
8
citations
fundno affunlabeled
Zebrafish
Graham J. Lieschke, Andrew C. Oates, Koichi Kawakami
2009· book· en· Methods in molecular biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Gene Expression Profile of Sprinter's Muscle
Mayumi Yoshioka, Hiroki Tanaka, Naoko Shono, M. Shindo, Jonny St‐Amand
2007· article· en· International Journal of Sports Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About