{"id":"W4388640006","doi":"10.23736/s0022-4707.23.15377-1","title":"Fat-Free Mass Index for body composition analysis in pediatric sport: a cross-sectional study","year":2023,"lang":"en","type":"article","venue":"The Journal of Sports Medicine and Physical Fitness","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Anthropometry; Medicine; Body mass index; Fat free mass; Body fat percentage; Cross-sectional study; Dual-energy X-ray absorptiometry; Body adiposity index; Population; Physical therapy; Mass index; Classification of obesity; Demography; Fat mass; Internal medicine; Environmental health; Bone mineral","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":[0.001979751,0.0001628633,0.0006501894,0.0007820944,0.0001059201,0.0000140067,0.0001826856,0.00005649144,0.00002219158],"category_scores_gemma":[0.00005544293,0.00009977385,0.0001656986,0.001533544,0.0001230007,0.0001051065,0.00003848615,0.0003623179,6.458266e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000527308,"about_ca_system_score_gemma":0.00004659761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002627694,"about_ca_topic_score_gemma":0.000002962474,"domain_scores_codex":[0.9979058,0.00004525317,0.000700761,0.0001663032,0.0009868543,0.0001950485],"domain_scores_gemma":[0.9986191,0.0001875402,0.0003925705,0.0002723064,0.0004009377,0.0001275745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001135488,0.0004047595,0.9941722,0.00007519616,0.0002184375,0.0001057675,0.0005432155,0.0002237564,0.002121037,0.00008028727,0.0006896314,0.000230229],"study_design_scores_gemma":[0.0033378,0.0009387425,0.9889298,0.00009734875,0.001649219,0.00004773683,0.0002868797,0.001232905,0.0001861277,0.003182066,0.00001787308,0.00009347945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964813,0.00009239416,0.001465348,0.001115547,0.0001424868,0.000582865,0.000005374834,0.00004078326,0.00007388764],"genre_scores_gemma":[0.9981059,0.0001377651,0.0000551388,0.0001142643,0.001481977,0.00001376438,0.00003017805,0.00001586329,0.00004507745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005242372,"threshold_uncertainty_score":0.4068659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03298191057972358,"score_gpt":0.3428613510316278,"score_spread":0.3098794404519042,"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."}}