{"id":"W4390618534","doi":"10.1001/jamanetworkopen.2023.50579","title":"Maternal Diabetes and Overweight and Congenital Heart Defects in Offspring","year":2024,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"HORIZON EUROPE Framework Programme; Diabetestutkimussäätiö; Lastentautien Tutkimussäätiö; Sydäntutkimussäätiö; Novo Nordisk; European Commission; Suomen Lääketieteen Säätiö; Suomen Kulttuurirahasto; Yrjö Jahnssonin Säätiö; Signe ja Ane Gyllenbergin Säätiö; Foundation for Cardiovascular Research","keywords":"Medicine; Overweight; Underweight; Offspring; Diabetes mellitus; Body mass index; Obesity; Gestational diabetes; Type 1 diabetes; Pregnancy; Type 2 diabetes; Population; Odds ratio; Pediatrics; Obstetrics; Birth weight; Internal medicine; Endocrinology; Gestation; Environmental health; Biology","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":[0.0003803605,0.00007381158,0.0001408257,0.00006515992,0.00003310484,0.0003702477,0.00005649901,0.00002985274,0.00008415843],"category_scores_gemma":[0.00004189321,0.00006186478,0.00001361405,0.0001511295,0.00003508373,0.0002129982,0.000306957,0.0001321734,0.00002084422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002433382,"about_ca_system_score_gemma":0.00002986654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009404799,"about_ca_topic_score_gemma":0.00006110502,"domain_scores_codex":[0.9992617,0.00003681668,0.0001068288,0.0001956832,0.0001377102,0.0002612203],"domain_scores_gemma":[0.9996532,0.000124896,0.000008734591,0.00007344493,0.00001997235,0.000119803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005999377,0.00001720352,0.9771675,0.000309541,0.00008156671,0.0001202412,0.00006715368,0.00002221532,0.0003307364,0.002737963,0.008665817,0.01042002],"study_design_scores_gemma":[0.0006408853,0.0001106517,0.9702129,0.0004948213,0.00001753294,0.000006396751,0.00002006254,0.004840435,0.0001330583,0.0009434942,0.02251304,0.00006665749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878302,0.003984839,0.000004840119,0.001824098,0.00006777587,0.0004739523,0.000003918847,0.00001656699,0.005793776],"genre_scores_gemma":[0.9970781,0.0002846585,0.0005145664,0.0006170102,0.0001498436,0.00004710414,0.00001215057,0.00001208693,0.001284527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01384723,"threshold_uncertainty_score":0.3570307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415531752033744,"score_gpt":0.2868799296257132,"score_spread":0.2727246121053758,"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."}}