{"id":"W2964340033","doi":"10.1007/s40519-019-00750-4","title":"Body composition parameters can better predict body size dissatisfaction than body mass index in children and adolescents","year":2019,"lang":"en","type":"article","venue":"Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Concordia University; Centre Hospitalier Universitaire Sainte-Justine","funders":"Global Affairs Canada; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Fonds de recherche du Québec – Nature et technologies; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Bioelectrical impedance analysis; Body mass index; Medicine; Logistic regression; Demography; Body volume index; Cross-sectional study; Lean body mass; Mass index; Odds ratio; Fat mass; Classification of obesity; Body weight; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008474467,0.0004533907,0.0005645023,0.001009259,0.0003586674,0.0006872447,0.0002731705,0.0005111753,0.001315811],"category_scores_gemma":[0.003020563,0.0003148885,0.0006171568,0.001070979,0.0003999759,0.0005500475,0.0004243471,0.0008580201,0.0002973588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000302234,"about_ca_system_score_gemma":0.0004134446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007763144,"about_ca_topic_score_gemma":0.01073821,"domain_scores_codex":[0.9997309,0.00008622392,0.00003354499,0.00003773914,0.00006431691,0.00004728324],"domain_scores_gemma":[0.9986398,0.0004937798,0.0004939967,0.00005593842,0.0001318674,0.0001846164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005773591,0.00003875725,0.9981372,0.00000973308,0.00002302732,0.00003289956,0.00008910413,0.00002002605,0.0001746634,0.000009441069,0.00002822924,0.001379119],"study_design_scores_gemma":[0.000002958597,0.00008301758,0.9992712,0.000007108285,0.00002467867,0.0001325078,0.0002048493,0.00007856992,0.00009913395,0.000007631686,0.00008699836,0.000001345162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986682,0.0005817343,0.00006965698,0.00004413502,0.00001138359,0.000006859475,0.0001205788,0.000003361484,0.000494093],"genre_scores_gemma":[0.9988536,0.0003562957,0.0001960792,0.00002778476,0.000007935862,0.00001173158,0.0002633235,0.000003896426,0.0002793707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007763144,"threshold_uncertainty_score":0.01543593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007017276667083529,"score_gpt":0.2380283569949305,"score_spread":0.231011080327847,"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."}}