{"id":"W3100308864","doi":"10.1002/ajmg.a.61972","title":"The spectrum of brain malformations and disruptions in twins","year":2020,"lang":"en","type":"article","venue":"American Journal of Medical Genetics Part A","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke","keywords":"Polymicrogyria; Schizencephaly; Hydranencephaly; Porencephaly; Zygosity; Medicine; Cerebellar hypoplasia (non-human); Population; Cerebellar vermis; Heterotopia (medicine); Ventriculomegaly; Concordance; Pediatrics; Anatomy; Cerebellum; Pathology; Internal medicine; Fetus; Pregnancy; Magnetic resonance imaging; Radiology; Biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003074158,0.00005941416,0.0002339876,0.00003883772,0.00003040509,0.000005769524,0.0001234862,0.00002920606,0.00006987977],"category_scores_gemma":[0.000790863,0.00003433501,0.00006713509,0.0003037187,0.0004918387,0.00001564926,0.00004283545,0.0003271946,0.000002758544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004232947,"about_ca_system_score_gemma":0.0001148995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007852773,"about_ca_topic_score_gemma":0.00001157658,"domain_scores_codex":[0.9988366,0.00007197486,0.0004331945,0.00006131871,0.0004634579,0.0001333951],"domain_scores_gemma":[0.9990569,0.0003334311,0.0001827526,0.00006268574,0.00003007531,0.0003341952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001880761,0.001142601,0.3904379,0.0002326756,0.0003398084,0.0006613266,0.007563099,0.0003412089,0.001256929,0.003084725,0.03201898,0.56104],"study_design_scores_gemma":[0.004987624,0.01528466,0.6950364,0.0001422473,0.0002461741,0.0008953662,0.004684456,0.006563251,0.0001260678,0.00206854,0.269694,0.0002713219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8137356,0.0009772665,0.0003853447,0.1845592,0.00004854773,0.00005985466,0.000003219444,0.000002564471,0.0002284175],"genre_scores_gemma":[0.9897128,0.00510009,0.0001885455,0.004835933,0.0001440736,0.000001069075,7.620412e-7,0.000004320028,0.00001240822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5607687,"threshold_uncertainty_score":0.18122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858706421265615,"score_gpt":0.2877126819881833,"score_spread":0.2691256177755272,"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."}}