{"id":"W4220741810","doi":"10.1016/j.jogc.2022.03.006","title":"Improving Early Pregnancy Screening for Placenta Accreta Spectrum: Retrospective Analysis of Early Screening Candidates by Risk Assessment in Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Maternal and fetal healthcare","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Placenta accreta; Obstetrics; Retrospective cohort study; Nuchal translucency; Gynecology; Pregnancy; Advanced maternal age; Placenta; First trimester; Gestation; Fetus; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008841989,0.0004660986,0.0007256559,0.002473747,0.002631703,0.001653267,0.001873131,0.0008353493,0.001900836],"category_scores_gemma":[0.00593965,0.0007436636,0.0009306844,0.008187658,0.0008398651,0.0004421214,0.001423724,0.001497852,0.0002422726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02352449,"about_ca_system_score_gemma":0.04829564,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866063,"about_ca_topic_score_gemma":0.9911013,"domain_scores_codex":[0.997198,0.0002252195,0.0002105617,0.0004396492,0.000957083,0.0009695707],"domain_scores_gemma":[0.9935158,0.0004569705,0.001471118,0.0002793117,0.002805277,0.001471479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008183566,0.00003254372,0.9971657,0.00001756912,0.00004976771,0.00008327277,0.0002052731,0.00005019474,0.00006083588,0.00006977675,0.0006556719,0.00152745],"study_design_scores_gemma":[0.00001269023,0.00002735729,0.9981206,0.00004286403,0.00005805241,0.0001132807,0.0008397033,0.0002021068,0.00004340533,0.00002241031,0.0005070646,0.00001049483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906141,0.001235283,0.0001448685,0.0005254063,0.00002372524,0.00009285797,0.005139757,0.00001150182,0.002212508],"genre_scores_gemma":[0.9970741,0.0006405387,0.0001751121,0.0002124579,0.000009543839,0.00002508015,0.001326567,0.000009773743,0.0005267553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02352449,"threshold_uncertainty_score":0.1706829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129092681553485,"score_gpt":0.2526916949036448,"score_spread":0.24140076808811,"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."}}