{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001467552,0.0003901472,0.0003188204,0.001197816,0.0003455095,0.0005486254,0.0007219703,0.0004685511,0.001142781],"category_scores_gemma":[0.007200759,0.0002706706,0.0003405921,0.0009698282,0.0004432354,0.0003938389,0.0006418848,0.000313415,0.0001613588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003051938,"about_ca_system_score_gemma":0.0004025387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008951726,"about_ca_topic_score_gemma":0.007365637,"domain_scores_codex":[0.9989894,0.000357159,0.00009173851,0.0002889855,0.0001605337,0.0001121893],"domain_scores_gemma":[0.9960509,0.001150409,0.001665,0.000432985,0.0003351503,0.00036557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003855484,0.000008755437,0.9991729,0.000002415858,0.00001683633,0.00008770768,0.00003837772,0.00001162047,0.00009140706,0.000004418839,0.00001116622,0.0005158457],"study_design_scores_gemma":[0.00000618983,0.00007777604,0.9983786,0.000009505607,0.00003602106,0.0009346263,0.0001473644,0.0002169452,0.00009006206,0.000006312961,0.00009391965,0.000002730246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996253,0.0001189373,0.00002764185,0.00001853386,0.000001335241,0.000002709342,0.00009350279,0.000001398776,0.0001106001],"genre_scores_gemma":[0.9996169,0.0001036229,0.00007839155,0.00000811002,0.000004729658,0.000003668688,0.0001501785,0.000001831721,0.00003257031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008951726,"threshold_uncertainty_score":0.01779926,"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."}}