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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 1 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
The Human Gene Map for Performance and Health-Related Fitness Phenotypes
Tuomo Rankinen, Molly S. Bray, James M. Hagberg, Louis Përusse, Stephen M. Roth, Bernd Wolfarth +1 more
2006· review· en· Medicine & Science in Sports & Exercise· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
742
citations
affunlabeled
The Human Gene Map for Performance and Health-Related Fitness Phenotypes
Molly S. Bray, James M. Hagberg, Louis Përusse, Tuomo Rankinen, Stephen M. Roth, Bernd Wolfarth +1 more
2008· review· en· Medicine & Science in Sports & Exercise· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
447
citations
affno abstractunlabeled
Genes, Environment and Sport Performance
Keith Davids, Joseph Baker
2007· review· en· Sports Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
187
citations
affunlabeled
Advances in Exercise, Fitness, and Performance Genomics
Tuomo Rankinen, Stephen M. Roth, Molly S. Bray, Ruth J. F. Loos, Louis Përusse, Bernd Wolfarth +2 more
2010· review· en· Medicine & Science in Sports & Exercise· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
175
citations
affunlabeled
Genes to predict VO2max trainability: a systematic review
Camilla J. Williams, Mark Williams, Nir Eynon, Kevin J. Ashton, Jonathan P. Little, Ulrik Wisløff +1 more
2017· review· en· BMC Genomics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
148
citations
fundno affno abstractunlabeled
Molecular genetic studies of gene identification for sarcopenia
Lijun Tan, Shanlin Liu, Shu‐Feng Lei, Christopher J. Papasian, Hong‐Wen Deng
2011· review· en· Human Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
113
citations
affunlabeled
Advances in Exercise, Fitness, and Performance Genomics in 2010
James M. Hagberg, Tuomo Rankinen, Ruth J. F. Loos, Louis Përusse, Stephen M. Roth, Bernd Wolfarth +1 more
2011· review· en· Medicine & Science in Sports & Exercise· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
107
citations
affno abstractunlabeled
Human plasma proteomic profiles indicative of cardiorespiratory fitness
Jeremy Robbins, Bennet Peterson, Daniela Schranner, Usman A. Tahir, Theresa Rienmüller, Shuliang Deng +13 more
2021· article· en· Nature Metabolism· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
88
citations
affno abstractunlabeled
Phenotypic Plasticity Confers Multiple Fitness Benefits to a Mimic
Fabio Cortesi, William E. Feeney, Maud C. O. Ferrari, Peter Waldie, Genevieve A. C. Phillips, Eva C. McClure +4 more
2015· article· en· Current Biology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
85
citations
fundno affno abstractunlabeled
Gene Doping in Sports
Mehmet Ünal, Durişehvar Özer Ünal
2004· review· en· Sports Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
74
citations
affunlabeled
Evidence for ACTN3 as a genetic modifier of Duchenne muscular dystrophy
Marshall W. Hogarth, Peter J. Houweling, Kristen C. Thomas, Heather Gordish‐Dressman, Luca Bello, V. Vishwanathan +37 more
2017· article· en· Nature Communications· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
66
citations
affunlabeled
Advances in Exercise, Fitness, and Performance Genomics in 2011
Stephen M. Roth, Tuomo Rankinen, James M. Hagberg, Ruth J. F. Loos, Louis Përusse, Mark A. Sarzynski +2 more
2012· review· en· Medicine & Science in Sports & Exercise· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
61
citations

How this was built: Screen · Findings · About