{"id":"W2979993598","doi":"","title":"Body Mass Index and its Association with Linear Growth and Pubertal Development","year":2019,"lang":"en","type":"article","venue":"Obesity","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Body mass index; Association (psychology); Linear growth; Medicine; Body height; Index (typography); Internal medicine; Body weight; Mathematics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002105742,0.00008290909,0.0001389039,0.00004622497,0.00004927193,0.00001572324,0.00002302024,0.00007391156,0.00002749389],"category_scores_gemma":[0.00002770149,0.00006924486,0.000009058683,0.00006094987,0.000008120531,0.00009525831,0.00002331117,0.000117453,0.00001698826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009561734,"about_ca_system_score_gemma":0.0000485935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007487219,"about_ca_topic_score_gemma":0.000004743106,"domain_scores_codex":[0.9993275,0.00002139252,0.000094061,0.0001612921,0.00028147,0.0001143143],"domain_scores_gemma":[0.9996752,0.00001851768,0.00005682392,0.00006897988,0.0001101279,0.00007032815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004812907,0.00004536412,0.9662663,0.00006916953,0.00003582828,0.000003513271,0.00005299609,4.311391e-8,0.03318714,0.000122891,0.00007775503,0.00009084945],"study_design_scores_gemma":[0.0007725297,0.0001231656,0.9015526,0.00007374222,0.00002612996,0.00001027975,0.000008997597,0.0001133013,0.09690595,0.00002669064,0.0002987666,0.00008784178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962742,0.00003882775,0.0003516479,0.0003135045,0.00002256757,0.0003430683,9.614388e-7,0.00008942436,0.002565759],"genre_scores_gemma":[0.996093,0.00001362131,0.003078471,0.0001609262,0.00002830019,0.000007487097,0.00001039807,0.000008906027,0.000598894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06471372,"threshold_uncertainty_score":0.2823724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00879129327258393,"score_gpt":0.224080876902694,"score_spread":0.2152895836301101,"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."}}