{"id":"W3036365342","doi":"10.1101/2020.06.18.20132837","title":"Are Suboptimal <i>in utero</i> Conditions Associated with Obesity and Cardiometabolic Risk Factors in Caucasian children?","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Birth, Development, and Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; McGill University; SickKids Foundation; University of Toronto; Université du Québec à Trois-Rivières; Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Canadian Institutes of Health Research; Université Laval; Université de Montréal; Concordia University; McGill University; Heart and Stroke Foundation of Canada","keywords":"Medicine; Odds ratio; Waist; Pregnancy; Obstetrics; Gestational diabetes; Obesity; Internal medicine; Odds; Logistic regression; Endocrinology; Gestation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007259958,0.000284811,0.0003658168,0.0006734013,0.0005142549,0.00092285,0.0005086761,0.0006650691,0.001941195],"category_scores_gemma":[0.002027824,0.0002962434,0.0004966226,0.001422189,0.0005062389,0.0003816292,0.0003319818,0.0006550174,0.0002682973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006694264,"about_ca_system_score_gemma":0.0007878597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09723487,"about_ca_topic_score_gemma":0.1038607,"domain_scores_codex":[0.9994292,0.0001597902,0.00004469254,0.0001344854,0.00007268719,0.0001592247],"domain_scores_gemma":[0.9983541,0.0001262541,0.0009662099,0.00009968734,0.0001587199,0.0002949293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002215788,0.00000953392,0.9993995,0.000003248598,0.00002052198,0.00004290307,0.00002854423,0.000005049722,0.00005415859,0.00001072348,0.00006816085,0.0003354467],"study_design_scores_gemma":[0.000001691739,0.00002137992,0.999495,0.000007572331,0.00001730981,0.000119253,0.000160164,0.00003639995,0.0000164583,0.000009134505,0.0001139185,0.000001655081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979655,0.0004810314,0.00004186457,0.0002261926,0.00001319462,0.000004101776,0.000484595,0.000003140077,0.0007804534],"genre_scores_gemma":[0.9991645,0.0001878525,0.00005812703,0.00007593271,0.00002217833,0.000004705872,0.0003206597,0.000002393625,0.0001638233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09723487,"threshold_uncertainty_score":0.1933378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631103703512749,"score_gpt":0.2778835335851595,"score_spread":0.2515724965500321,"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."}}