{"id":"W3186072849","doi":"10.1093/cercor/bhab131","title":"Symptom-Related Differential Neuroimaging Biomarkers in Children with Corpus Callosum Abnormalities","year":2021,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health","keywords":"Corpus callosum; Gyrification; White matter; Neuroimaging; Dysgenesis; Medicine; Abnormality; Diffusion MRI; Magnetic resonance imaging; Fractional anisotropy; Brain size; Differential diagnosis; Internal medicine; Audiology; Pathology; Epilepsy; Psychology; Radiology; Psychiatry; Anatomy","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":[0.0003640623,0.0007125866,0.000458877,0.001778617,0.0003618078,0.0005176436,0.0002607355,0.000551544,0.0008215937],"category_scores_gemma":[0.001999493,0.0001845323,0.0002509883,0.001052794,0.0004900782,0.0004590953,0.0004761016,0.0003821598,0.0001057613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003188082,"about_ca_system_score_gemma":0.0004728148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00318149,"about_ca_topic_score_gemma":0.003430077,"domain_scores_codex":[0.9997024,0.00004996468,0.000047248,0.0001026481,0.00005177916,0.00004609535],"domain_scores_gemma":[0.9991663,0.0001654673,0.0004570099,0.00003031857,0.00007561395,0.0001053781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001008612,0.00002462601,0.994018,0.00002728332,0.00002316541,0.001365605,0.000168423,0.00006457479,0.001920229,0.00003211317,0.00006248616,0.002192739],"study_design_scores_gemma":[0.000003879715,0.00009735812,0.9951704,0.00001059025,0.00002680158,0.00375545,0.0002360872,0.0001178265,0.0004282244,0.00002956903,0.0001200528,0.000003764623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993353,0.0002459353,0.00006850131,0.00002498574,0.000002094933,0.000007918275,0.000120217,0.00000497702,0.0001899614],"genre_scores_gemma":[0.999234,0.0001579397,0.0002878574,0.00001657436,0.000005666089,0.000009875259,0.0002402381,0.00000314334,0.00004484227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00318149,"threshold_uncertainty_score":0.00632596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007480269873533845,"score_gpt":0.2144502938569445,"score_spread":0.2069700239834106,"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."}}