{"id":"W2059013824","doi":"10.1097/aog.0000000000000591","title":"Risk of Adverse Pregnancy Outcomes by Prepregnancy Body Mass Index","year":2014,"lang":"en","type":"article","venue":"Obstetrics and Gynecology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":361,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Medicine; Body mass index; Obstetrics; Gestational diabetes; Pregnancy; Preeclampsia; Gestation; Mass index; Population; Gestational age; Gynecology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001521361,0.00009973344,0.0002717121,0.0001763382,0.00004330393,0.000003710427,0.00007262141,0.00008359266,0.0001206536],"category_scores_gemma":[0.008078647,0.0000811,0.0000565551,0.0001943576,0.0000784308,0.00004148368,0.00007118614,0.0001263716,0.0000175182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002942839,"about_ca_system_score_gemma":0.00003010612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002132086,"about_ca_topic_score_gemma":0.000003887597,"domain_scores_codex":[0.9990268,0.00007340235,0.0002166217,0.0002186077,0.0002136958,0.0002508275],"domain_scores_gemma":[0.9971115,0.002284197,0.0001157164,0.0002269756,0.0001238004,0.0001378359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007140801,0.0001593051,0.9508955,0.0001764511,0.0001120394,0.000008480714,0.00002880927,0.000009236082,0.0001955454,0.001802039,0.0009439134,0.04566155],"study_design_scores_gemma":[0.002115431,0.0005874821,0.973057,0.00004804325,0.00006851602,4.548871e-7,0.00004813352,0.0009188374,0.0001587393,0.001633832,0.02128001,0.00008345864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768497,0.003047081,0.001921493,0.0005535299,0.0003947763,0.0007927815,0.0000626772,0.00003290182,0.01634501],"genre_scores_gemma":[0.9927474,0.00133099,0.0005236389,0.0001432346,0.000004433231,0.00002525842,0.00003371875,0.00001011336,0.005181212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04557809,"threshold_uncertainty_score":0.9671478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007685426103708825,"score_gpt":0.2562520640759015,"score_spread":0.2485666379721926,"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."}}