{"id":"W3133200679","doi":"10.1002/uog.23612","title":"Role of prenatal magnetic resonance imaging in fetuses with isolated anomalies of corpus callosum: multinational study","year":2021,"lang":"en","type":"article","venue":"Ultrasound in Obstetrics and Gynecology","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"St George's University Hospitals NHS Foundation Trust; I.M. Sechenov First Moscow State Medical University; Medizinische Universität Wien; Università degli Studi di Roma Tor Vergata; Università degli Studi di Parma; Universität Wien; Sapienza Università di Roma; Universidad Complutense de Madrid; Università degli Studi di Padova; Università Degli Studi di Modena e Reggio Emila","keywords":"Medicine; Abnormality; Agenesis of the corpus callosum; Fetus; Magnetic resonance imaging; Corpus callosum; Prenatal diagnosis; Corpus Callosum Agenesis; Gestational age; Retrospective cohort study; Radiology; Pregnancy; Pathology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009333454,0.00009796848,0.0003139045,0.0001949553,0.00001698675,0.00000449602,0.00005120902,0.00006225552,0.00007313499],"category_scores_gemma":[0.008105873,0.00008189408,0.00002267058,0.000699282,0.0001458748,0.00003832032,0.00003970107,0.0001558099,4.833946e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001846978,"about_ca_system_score_gemma":0.00007719831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001294266,"about_ca_topic_score_gemma":0.0004002393,"domain_scores_codex":[0.9990331,0.0000822047,0.000333685,0.000239675,0.0001422019,0.0001691205],"domain_scores_gemma":[0.991752,0.007892637,0.0000837502,0.0001052197,0.0001300146,0.00003634725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001401052,0.001103894,0.9700946,0.00004503733,0.00000536561,0.0001887672,0.0003855588,0.00002372593,0.001584629,0.0001333062,0.000003025457,0.02629199],"study_design_scores_gemma":[0.003261585,0.001512724,0.9926789,0.00001559723,0.00002435682,0.00006047112,0.0009462708,0.0002984536,0.0002122669,0.0002816666,0.0006263518,0.00008140523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773102,0.02178067,0.000002028102,0.00007007692,0.00006311698,0.0002498782,0.00002162256,0.000005862219,0.000496536],"genre_scores_gemma":[0.9981643,0.001458628,0.0001764506,0.00008528574,0.000004988767,0.00001184994,0.00001581487,0.000006832501,0.00007582703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02621059,"threshold_uncertainty_score":0.9704072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006221391981114833,"score_gpt":0.2217558541928173,"score_spread":0.2155344622117025,"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."}}