{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006893093,0.0001848908,0.0001255413,0.0005607744,0.0002280096,0.0003756561,0.0002542907,0.00015472,0.002304433],"category_scores_gemma":[0.003499372,0.0001304163,0.0002200813,0.0005277153,0.0003036501,0.0002024517,0.0003584841,0.000496474,0.0002540091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002402415,"about_ca_system_score_gemma":0.0003723357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006751344,"about_ca_topic_score_gemma":0.006093648,"domain_scores_codex":[0.9996371,0.0001078295,0.00002790506,0.00007084702,0.00008732336,0.00006899571],"domain_scores_gemma":[0.9975588,0.0004728598,0.001378292,0.00009128186,0.0002254044,0.0002734467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003803566,0.00001075186,0.9984946,0.000007005017,0.00002107025,0.00001780398,0.00002603809,0.00006170159,0.0001263236,0.00001902464,0.00002573887,0.001151899],"study_design_scores_gemma":[9.948868e-7,0.00002799813,0.9996586,0.000003342819,0.000004355619,0.00006052882,0.0000253299,0.00009871153,0.00004146823,0.000007421781,0.00007051569,6.633925e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983433,0.0004904955,0.0002350916,0.00006948268,0.000004880279,0.000004250412,0.0002673066,0.000008671485,0.0005765404],"genre_scores_gemma":[0.9993834,0.00009975388,0.0001290406,0.00000503786,0.000004307205,0.000002447913,0.0001859701,0.000001933221,0.0001881014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006751344,"threshold_uncertainty_score":0.0134241,"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."}}