{"id":"W2481537205","doi":"10.2337/dc16-1194","title":"Maternal and Neonatal Morbidity for Women Who Would Be Added to the Diagnosis of GDM Using IADPSG Criteria: A Secondary Analysis of the Hyperglycemia and Adverse Pregnancy Outcome Study","year":2016,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"National Center for Research Resources; National Institute of Child Health and Human Development; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Gestational diabetes; Pregnancy; Obstetrics; Percentile; Diabetes mellitus; Odds ratio; Preeclampsia; Birth weight; Logistic regression; Gestation; Internal medicine; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001961867,0.0005123455,0.0006167835,0.001317052,0.0003554437,0.0004968009,0.0004051584,0.0004497729,0.001155174],"category_scores_gemma":[0.004437374,0.0003259811,0.001653296,0.001150882,0.0001871496,0.0002962784,0.0006740383,0.0006338201,0.000159989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003526877,"about_ca_system_score_gemma":0.0004953315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003629633,"about_ca_topic_score_gemma":0.003342788,"domain_scores_codex":[0.9984581,0.0006580773,0.0001676983,0.0003302882,0.0002630669,0.0001227887],"domain_scores_gemma":[0.9973247,0.0007196556,0.001175846,0.0002905328,0.0002775238,0.000211766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001226706,0.00006133749,0.9965845,0.00005701798,0.0006043517,0.00006355061,0.00002314997,0.00006713921,0.0001306325,0.00002772391,0.0002624974,0.000891245],"study_design_scores_gemma":[0.0001466107,0.0005507934,0.997682,0.00001703817,0.0004189663,0.0002058749,0.00007913929,0.0004019121,0.0001391206,0.00003793619,0.0003145454,0.000006138522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951389,0.0003329578,0.0003715897,0.00004733654,0.00001811017,0.00009270159,0.003556261,0.000006812417,0.0004353108],"genre_scores_gemma":[0.9947757,0.000135375,0.0004015599,0.00006028976,0.00004275816,0.0002429694,0.004028092,0.000005735931,0.0003075457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003629633,"threshold_uncertainty_score":0.0103755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03508182900350412,"score_gpt":0.3260477123289346,"score_spread":0.2909658833254305,"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."}}