{"id":"W2091161070","doi":"10.5539/gjhs.v7n5p215","title":"Does Nutrition Knowledge and Practice of Athletes Translate to Enhanced Athletic Performance? Cross-Sectional Study Amongst Nigerian Undergraduate Athletes","year":2015,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Athletes; Anthropometry; Sports nutrition; Cross-sectional study; Medicine; Bioelectrical impedance analysis; Physical therapy; Statistical significance; Grip strength; Muscle mass; Lean body mass; Body mass index; Body weight; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002849474,0.0001258755,0.000243346,0.0001010512,0.0002039694,0.00007046814,0.0002641754,0.00005151537,0.000001291028],"category_scores_gemma":[0.0002999307,0.00008983239,0.00005071183,0.000408596,0.0002923601,0.00008163129,0.00006634677,0.0000891279,0.000002046727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000668576,"about_ca_system_score_gemma":0.0005234356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003286057,"about_ca_topic_score_gemma":0.00002149,"domain_scores_codex":[0.9981636,0.00015082,0.0006284507,0.0002803068,0.0004800692,0.0002967646],"domain_scores_gemma":[0.9980879,0.00002163008,0.0004340367,0.0001536518,0.0009758268,0.0003268941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003753884,0.003236281,0.4961506,0.0005719106,0.00009300379,0.000009198022,0.00145335,0.0002610012,0.4213845,0.0001948913,0.0006706216,0.07222077],"study_design_scores_gemma":[0.004283261,0.0065793,0.9346766,0.0002764179,0.00003233928,0.0002615417,0.001068551,0.00004329686,0.04624674,0.000565537,0.005678357,0.0002880121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943277,0.003057228,0.0007718141,0.0006433826,0.0006906241,0.000345786,0.00001658416,0.000003877465,0.0001430015],"genre_scores_gemma":[0.9961683,0.001388147,0.002071268,0.0001311761,0.0002152771,0.000006947022,0.000003195774,0.000004994002,0.00001069421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.438526,"threshold_uncertainty_score":0.3663258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252337546682309,"score_gpt":0.3517887293885625,"score_spread":0.3292653539217394,"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."}}