{"id":"W3180978329","doi":"10.1371/journal.pone.0254552","title":"Lean mass and biological maturation as predictors of muscle power and strength performance in young athletes","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Sports Performance and Training","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Manitoba","funders":"Universidade Federal do Rio Grande do Norte; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Lean body mass; Athletes; Muscle strength; Muscle mass; Sarcopenia; Medicine; Muscle power; Animal science; Vertical jump; Internal medicine; Jump; Endocrinology; Biology; Physical therapy; Body weight; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00006883249,0.00006271254,0.0001721147,0.00004651071,0.00002161365,0.000005691391,0.00001410631,0.00005565983,0.00006283762],"category_scores_gemma":[0.00003954954,0.00005084899,0.0000108985,0.00008759108,0.00005240028,0.00008782685,0.00001681796,0.0001060276,0.000001673953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008506653,"about_ca_system_score_gemma":0.00002266408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006406803,"about_ca_topic_score_gemma":0.000007060095,"domain_scores_codex":[0.9994999,0.0000036744,0.0001453133,0.0001312257,0.0001165075,0.0001034223],"domain_scores_gemma":[0.9997923,0.00001483382,0.00003545117,0.00007904349,0.00003869895,0.00003964744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005705917,0.0001724401,0.9672009,0.00009265656,0.00003057974,0.00001733053,0.0007495737,2.742221e-7,0.03105867,0.00003216348,0.000001466283,0.0005868223],"study_design_scores_gemma":[0.0006284441,0.0003030494,0.9715905,0.0003721178,0.00003327388,0.00001474528,0.0006620083,0.0004071512,0.02591066,0.00001545272,0.00001089856,0.00005169276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979839,0.0004631821,3.300673e-7,0.00008052003,0.00001950136,0.0000894346,0.000002201793,0.00001610092,0.001344882],"genre_scores_gemma":[0.9981258,0.001175431,0.0005028564,0.00003757704,0.00003877713,0.00000467948,0.00002740791,0.000005444619,0.00008204822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005148014,"threshold_uncertainty_score":0.2073562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797741672779594,"score_gpt":0.2282254465554074,"score_spread":0.2002480298276114,"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."}}