{"id":"W2756393652","doi":"10.1002/uog.18019","title":"P03.01: Validation of a clinical and sonographic‐based scoring system for prenatal prediction of morbidly adherent placenta in high‐risk population","year":2017,"lang":"en","type":"article","venue":"Ultrasound in Obstetrics and Gynecology","topic":"Maternal and fetal healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Placenta previa; Obstetrics; Placenta; Cohort; Hysterectomy; Caesarean section; Population; Uterus; Scoring system; Uterine rupture; Pregnancy; Fetus; Gynecology; Radiology; Surgery; Pathology; 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":[0.006648572,0.0005488521,0.0004420436,0.001666862,0.000424024,0.001461972,0.001323517,0.0009748056,0.001748293],"category_scores_gemma":[0.01839308,0.0003338054,0.0006303071,0.001086009,0.0004974467,0.0007633588,0.001107344,0.000719388,0.0008901636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005067864,"about_ca_system_score_gemma":0.001004689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002288926,"about_ca_topic_score_gemma":0.001331322,"domain_scores_codex":[0.9964741,0.001534963,0.0004519455,0.0004050414,0.000918433,0.0002154263],"domain_scores_gemma":[0.9898169,0.004011177,0.0019993,0.000819074,0.002716481,0.0006371152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005271702,0.0001253982,0.9811442,0.00007923096,0.0001070339,0.0002037063,0.0001440757,0.0005387221,0.001114776,0.0001506851,0.0007761936,0.01508887],"study_design_scores_gemma":[0.0001055642,0.001135971,0.9820583,0.0000811096,0.0001426631,0.001668357,0.0003089654,0.01128824,0.001362267,0.0003056359,0.001515365,0.00002746286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867076,0.0007743725,0.007254559,0.0003044581,0.0001390576,0.0002823161,0.001109032,0.00008735242,0.003341211],"genre_scores_gemma":[0.9913107,0.0001603689,0.006528657,0.00007754366,0.00004385564,0.0002126503,0.00119205,0.00002194649,0.0004522915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006648572,"threshold_uncertainty_score":0.03516144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04708553430486018,"score_gpt":0.3384551855871243,"score_spread":0.2913696512822641,"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."}}