{"id":"W2056469402","doi":"10.1038/oby.2005.129","title":"Utility of Childhood BMI in the Prediction of Adulthood Disease: Comparison of National and International References","year":2005,"lang":"en","type":"article","venue":"Obesity Research","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":261,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Heart, Lung, and Blood Institute; National Institute on Aging; Centers for Disease Control and Prevention; Heart and Stroke Foundation of Canada","keywords":"Overweight; Medicine; Obesity; Childhood obesity; Body mass index; Odds ratio; Demography; Pediatrics; Gerontology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00106026,0.00006391107,0.0002301038,0.0001628285,0.00003990742,0.000006587654,0.0001946596,0.00004800842,0.0001155188],"category_scores_gemma":[0.000588231,0.00004764444,0.00004760353,0.000302052,0.0003138298,0.0001189244,0.00009719985,0.000345376,0.000003386643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003265053,"about_ca_system_score_gemma":0.0001621033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001005617,"about_ca_topic_score_gemma":0.0001160334,"domain_scores_codex":[0.9978304,0.0002585816,0.0002888041,0.0001794229,0.001309675,0.0001331128],"domain_scores_gemma":[0.9986935,0.0003907103,0.00008770664,0.0001790018,0.000583318,0.00006576298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001485749,0.01255079,0.9809641,0.0001566143,0.00002872704,3.601788e-7,0.0007028321,0.000003811269,0.00041693,0.002142539,0.000482554,0.00240221],"study_design_scores_gemma":[0.0006213542,0.0002121343,0.9899237,0.0001092006,0.00001082976,8.892841e-7,0.000397417,0.002864968,0.00363624,0.002110593,0.00008600192,0.00002669789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994122,0.0001357107,0.000006762512,0.001042267,0.00001766422,0.0002991966,0.0001345434,0.000005026734,0.004236873],"genre_scores_gemma":[0.9996781,0.00004574246,0.00007858397,0.000008708284,0.00008609798,0.000008120826,0.00003696701,0.00000348647,0.00005419974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01233865,"threshold_uncertainty_score":0.1942884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064887589035048,"score_gpt":0.4125618215639832,"score_spread":0.3060730626604783,"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."}}