{"id":"W2971626104","doi":"10.1002/oby.22592","title":"Association of BMI with Linear Growth and Pubertal Development","year":2019,"lang":"en","type":"article","venue":"Obesity","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; Medical Research Council; National Institutes of Health; National University of Singapore; University of Bristol; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; National Institute for Health and Care Research; NIHR Bristol Biomedical Research Centre","keywords":"Linear growth; Medicine; Demography; Obesity; Body mass index; Trunk; Body height; Linear regression; Logistic regression; Growth velocity; Childhood obesity; Health statistics; Pediatrics; Body weight; Overweight; Internal medicine; Population; Mathematics","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":[0.0001191012,0.0000857977,0.0002401397,0.00002879143,0.00002697004,0.000005218308,0.00003369854,0.00005968547,0.00004213769],"category_scores_gemma":[0.00005208086,0.00006762811,0.00002507778,0.00009291095,0.00002005593,0.0000885855,0.00005006807,0.0001166846,0.00005597866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006969152,"about_ca_system_score_gemma":0.0000584285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000484354,"about_ca_topic_score_gemma":0.00003866353,"domain_scores_codex":[0.9992959,0.00002119854,0.0001017839,0.0001618113,0.0002847613,0.0001344939],"domain_scores_gemma":[0.9995676,0.00006667524,0.00008752393,0.0001118597,0.00009435483,0.00007200981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003292007,0.001251136,0.9961441,0.0001520656,0.00007259996,0.000002031407,0.00009868569,2.503568e-7,0.001783942,0.0002542738,0.00005382469,0.000154223],"study_design_scores_gemma":[0.0007626439,0.0001949524,0.9618148,0.00004285574,0.00004755601,0.000002511645,0.00001672514,0.00003109024,0.03675299,0.00007690097,0.0001795844,0.00007742902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949641,0.000007004119,0.00001169311,0.0001889571,0.00003379228,0.0002041411,0.000002174778,0.00002313769,0.004564948],"genre_scores_gemma":[0.9973831,0.00000325487,0.0009283415,0.00005459628,0.00004498322,0.000002524578,0.000009225625,0.000009072884,0.001564945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03496905,"threshold_uncertainty_score":0.2757794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006669486085097583,"score_gpt":0.2206953594056025,"score_spread":0.2140258733205049,"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."}}