{"id":"W2973192998","doi":"10.1002/jum.15124","title":"Natural History of Ventriculomegaly in Fetal Agenesis of the Corpus Callosum","year":2019,"lang":"en","type":"article","venue":"Journal of Ultrasound in Medicine","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; SickKids Foundation; Mount Sinai Hospital","funders":"","keywords":"Ventriculomegaly; Medicine; Corpus callosum; Fetus; Corpus Callosum Agenesis; Lateral ventricles; Ultrasound; Pregnancy; Agenesis; Gestational age; Agenesis of the corpus callosum; Natural history; Gestation; Obstetrics; Anatomy; Radiology; 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":[0.0005104259,0.0001423045,0.0001451746,0.001188499,0.0003087891,0.0003260672,0.0003642045,0.0004213901,0.0007398556],"category_scores_gemma":[0.006130356,0.0001655999,0.0001547911,0.0003871822,0.0006449306,0.000497451,0.0003119394,0.000383241,0.0001325569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002766496,"about_ca_system_score_gemma":0.0002557205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002158015,"about_ca_topic_score_gemma":0.001977118,"domain_scores_codex":[0.9996616,0.0001023782,0.00003504687,0.00008162142,0.00007095911,0.00004852587],"domain_scores_gemma":[0.9963117,0.001205327,0.001775344,0.0001297674,0.0001792504,0.0003986219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008466155,0.00001219783,0.9962689,0.000004051971,0.00001070357,0.001221545,0.00009824443,0.00005346125,0.0006759167,0.0000151393,0.0000362606,0.001519071],"study_design_scores_gemma":[0.000002386627,0.00007804888,0.9913795,0.000004745812,0.000007509607,0.008030364,0.0001218354,0.0001240718,0.0001700866,0.00002081364,0.00005612249,0.000004536881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996213,0.0001438479,0.00003460784,0.00001736629,0.000001272223,0.000001511471,0.00004572629,0.000001961934,0.0001324213],"genre_scores_gemma":[0.9998004,0.00005178132,0.00004318267,0.00000375869,0.00000468594,0.000001678028,0.00007394137,8.55943e-7,0.000019817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002158015,"threshold_uncertainty_score":0.004290879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105846421903094,"score_gpt":0.2327236697292896,"score_spread":0.2216652055102587,"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."}}