{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001248734,0.0002925832,0.0002749578,0.0006130002,0.0004956451,0.0006527823,0.000448586,0.0004757556,0.0007783959],"category_scores_gemma":[0.002930266,0.0004170839,0.0004818802,0.0007741352,0.0002063947,0.0004010813,0.0005045834,0.0009663445,0.000174759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003784174,"about_ca_system_score_gemma":0.000452621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01936014,"about_ca_topic_score_gemma":0.01996129,"domain_scores_codex":[0.9996569,0.0001324619,0.00002734442,0.0000667164,0.00005536631,0.00006123649],"domain_scores_gemma":[0.9980376,0.0002850626,0.0009024831,0.000181421,0.0002400203,0.0003534535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007279615,0.00004026463,0.9990523,0.000002662643,0.00005017048,0.00002896263,0.00006135407,0.00001478663,0.0000739622,0.0000068691,0.00003188847,0.0005638447],"study_design_scores_gemma":[0.000005954371,0.00006809272,0.9992628,0.000006903985,0.00003974985,0.00008369001,0.0001592738,0.0002170534,0.000035519,0.00001266374,0.0001062106,0.000002085219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992923,0.000278947,0.00008318321,0.00003933128,0.000004783555,0.000003269557,0.0001776545,0.000003815838,0.0001167508],"genre_scores_gemma":[0.998915,0.0001933577,0.0002138634,0.00002968819,0.00000668242,0.00001309269,0.0004151828,0.000004246049,0.0002088372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01936014,"threshold_uncertainty_score":0.03849494,"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."}}