{"id":"W1523620029","doi":"10.1080/17441730.2015.1038873","title":"Sex, Socioeconomic and Regional Disparities in Age Trajectories of Childhood BMI, Underweight and Overweight in China","year":2015,"lang":"en","type":"article","venue":"Asian Population Studies","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute on Aging","keywords":"Overweight; Underweight; Demography; Medicine; Body mass index; Obesity; Socioeconomic status; Childhood obesity; Early childhood; Environmental health; Population; Psychology; Developmental psychology","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":[0.000960174,0.0002328171,0.0002819626,0.001030009,0.000465657,0.0004302746,0.0003282784,0.0001828224,0.0006657921],"category_scores_gemma":[0.001293685,0.0002292242,0.0005426053,0.001863825,0.0002640442,0.0002980721,0.0006627306,0.0002955649,0.00006789199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008739479,"about_ca_system_score_gemma":0.001324743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.105536,"about_ca_topic_score_gemma":0.1354723,"domain_scores_codex":[0.9996468,0.0000633797,0.00003664674,0.00008209948,0.00005490838,0.0001160979],"domain_scores_gemma":[0.9993662,0.00006426514,0.0002127196,0.0001133084,0.0001028952,0.0001405428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003599104,0.00001395752,0.9978635,0.000005667861,0.00004601485,0.00003742337,0.0001534772,0.0001812948,0.000102846,0.00006447459,0.0000885315,0.001406953],"study_design_scores_gemma":[0.000001967141,0.000007838164,0.9993004,0.000002350137,0.00001084872,0.00001417137,0.00008530707,0.0004480159,0.00001977687,0.00002677069,0.00008068281,0.000001895208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992284,0.00006712635,0.00005481081,0.00002688063,0.000001376962,0.000004941825,0.0004667259,0.00000212935,0.0001476242],"genre_scores_gemma":[0.998917,0.00006220097,0.00007039111,0.000008222293,0.000001334225,0.000007637542,0.0008263852,0.000001228249,0.0001056762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.105536,"threshold_uncertainty_score":0.2098433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305707096680136,"score_gpt":0.2964292700625869,"score_spread":0.2658585603945733,"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."}}