{"id":"W2017164471","doi":"10.1038/oby.2008.401","title":"Birth Weight and Body Composition in Overweight Latino Youth: A Longitudinal Analysis","year":2008,"lang":"en","type":"article","venue":"Obesity","topic":"Birth, Development, and Health","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Deutsches Krebsforschungszentrum; University of Southern California; National Institutes of Health; National Center for Research Resources; American Diabetes Association","keywords":"Medicine; Overweight; Trunk; Percentile; Obesity; Classification of obesity; Lean body mass; Birth weight; Internal medicine; Adipose tissue; Body mass index; Endocrinology; Physiology; Fat mass; Pregnancy; Body weight; Biology","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":[0.0001642878,0.0001226822,0.0003730487,0.000275793,0.0001615817,0.00000769096,0.00003620221,0.00008867656,0.0001451591],"category_scores_gemma":[0.000008411732,0.0001082925,0.00006411273,0.0005416247,0.00006438088,0.00007388643,0.00002988254,0.0001878784,0.00002520444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009944406,"about_ca_system_score_gemma":0.0000990823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004298798,"about_ca_topic_score_gemma":0.0003185041,"domain_scores_codex":[0.9990014,0.00004352447,0.0002323887,0.0002749809,0.0002160331,0.0002316531],"domain_scores_gemma":[0.9995293,0.00002164087,0.00006677846,0.0001696887,0.00004762945,0.0001649697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008186323,0.00025355,0.9963663,0.00005909401,0.0001015628,0.0001149733,0.001135676,8.150269e-7,0.000164595,0.001528575,0.0001298907,0.0000631712],"study_design_scores_gemma":[0.0009897667,0.00008568429,0.9975745,0.00003638651,0.0001807097,0.00005233978,0.00003767805,0.000250848,0.0003154642,0.0002720604,0.00009123865,0.0001133277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994352,0.0001882663,0.0002182967,0.0003208074,0.00004370189,0.0001628611,0.00001506129,0.000039146,0.004659832],"genre_scores_gemma":[0.9928222,0.005714876,0.0009382164,0.0002539735,0.00007641652,0.000003214768,0.00009225372,0.000007858905,0.00009097799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005526609,"threshold_uncertainty_score":0.4416041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02634706995183311,"score_gpt":0.2694976994262606,"score_spread":0.2431506294744274,"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."}}