{"id":"W4251875574","doi":"10.1002/uog.23160","title":"VP47.03: Can fetal abdominal wall thickness predict intrapartum complications amongst mothers with pre‐gestational type 2 diabetes? A cohort study","year":2020,"lang":"en","type":"article","venue":"Ultrasound in Obstetrics and Gynecology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Medicine; Shoulder dystocia; Obstetrics; Gestational diabetes; Caesarean section; Vaginal delivery; Gestational age; Fetal macrosomia; Fetus; Pregnancy; Birth weight; Cohort; Gestation; Gynecology; Internal medicine","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":[0.001730754,0.0004244887,0.0003799238,0.000647826,0.0005617263,0.0008992908,0.0006618447,0.0006937572,0.001969516],"category_scores_gemma":[0.00455572,0.0005062888,0.0008747982,0.0008589997,0.0002744712,0.0007260594,0.0005990087,0.0009328146,0.0004763072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000289304,"about_ca_system_score_gemma":0.0003868573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004861688,"about_ca_topic_score_gemma":0.00373158,"domain_scores_codex":[0.9993132,0.0002237532,0.00006432291,0.0001791199,0.00009867066,0.0001209702],"domain_scores_gemma":[0.9978034,0.0005201801,0.0006900033,0.0004413999,0.0002367181,0.0003083579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003695918,0.00005780581,0.9980733,0.00001111664,0.0001130055,0.000109182,0.00009575373,0.00001351481,0.0001433434,0.00001477093,0.00008917282,0.0009093785],"study_design_scores_gemma":[0.00005035168,0.0008107632,0.997187,0.00002238723,0.0001611394,0.0006840749,0.0003604522,0.0002620069,0.0001007209,0.00003802035,0.0003139166,0.000009224163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998831,0.0002327599,0.0001257634,0.00004131773,0.00001412289,0.0000193909,0.0005162294,0.000002709498,0.0002167078],"genre_scores_gemma":[0.9986054,0.0001872178,0.0002186119,0.00005206203,0.00002268027,0.00004505086,0.0005887314,0.000005308078,0.0002749046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004861688,"threshold_uncertainty_score":0.009666741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451853135720194,"score_gpt":0.2595636645185001,"score_spread":0.2450451331612982,"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."}}