{"id":"W2553030131","doi":"10.1139/apnm-2016-0441","title":"Genetic characterization of physical activity behaviours in university students enrolled in kinesiology degree programs","year":2016,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Center for Medical Rehabilitation Research; National Institute on Minority Health and Health Disparities; National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Children's National Hospital","keywords":"Kinesiology; Heritability; Nonsynonymous substitution; Physical activity; Physical fitness; Allele; Minor allele frequency; Medicine; Biology; Psychology; Internal medicine; Genetics; Physiology; Allele frequency; Physical therapy; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004956327,0.0001216747,0.0002522785,0.00007001174,0.00002131872,0.000002433189,0.0001190546,0.0001230929,0.000002503655],"category_scores_gemma":[0.000003389222,0.00009988929,0.00004192912,0.0001160262,0.0001399549,0.000005193052,0.0000874107,0.00006140403,0.000001401298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006480405,"about_ca_system_score_gemma":0.00001511417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001304194,"about_ca_topic_score_gemma":0.00001659579,"domain_scores_codex":[0.9992781,0.00007098199,0.0001133708,0.0002978417,0.00006167108,0.0001780117],"domain_scores_gemma":[0.999691,0.00001079058,0.00008040592,0.0001463017,0.00002929937,0.00004218883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002416342,0.0007807321,0.009402769,0.00001439989,0.000009444987,5.257744e-7,0.00003005698,0.000001320483,0.9623282,0.0002650036,0.000001609375,0.02692432],"study_design_scores_gemma":[0.003138944,0.00006150461,0.8989317,0.00001337111,0.00001095672,5.379089e-7,0.00001024403,0.00001555363,0.09659781,0.0002522912,0.0008580427,0.0001089736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994429,0.00004008986,0.0000704389,0.00003391625,0.00003538715,0.0003266671,0.00002000616,0.000004128441,0.00002649983],"genre_scores_gemma":[0.9991532,0.0005654079,0.00006310967,0.00002062344,0.00008294162,0.00003103239,0.00005548963,0.000008172068,0.00002000539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.889529,"threshold_uncertainty_score":0.4073367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115850236784737,"score_gpt":0.2356489589489949,"score_spread":0.2244904565811475,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}