{"id":"W4280496683","doi":"10.1186/s13229-022-00499-1","title":"White matter microstructural and morphometric alterations in autism: implications for intellectual capabilities","year":2022,"lang":"en","type":"article","venue":"Molecular Autism","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Ministry of Science and Technology, Taiwan; University of Toronto","keywords":"Splenium; Corpus callosum; Autism spectrum disorder; Autism; Cerebellum; Audiology; White matter; Psychology; Neuropsychology; Fusiform gyrus; Verbal fluency test; Prefrontal cortex; Neurology; Neuroscience; Medicine; Cognition; Magnetic resonance imaging; Developmental psychology; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001694368,0.000170736,0.0001837041,0.0006936774,0.000575892,0.0001336257,0.0003643924,0.00004263196,0.0008716431],"category_scores_gemma":[0.0002341103,0.0001944585,0.00007224809,0.001251523,0.0002034811,0.0001349886,0.0004257449,0.0003376736,0.00002786813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001803251,"about_ca_system_score_gemma":0.00008878955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001062305,"about_ca_topic_score_gemma":0.00002771426,"domain_scores_codex":[0.998149,0.000222871,0.000285493,0.0006021696,0.0002316443,0.0005087897],"domain_scores_gemma":[0.9991412,0.0003338724,0.00005280404,0.000382074,0.000006041431,0.00008403156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007505314,0.0002102527,0.01149669,0.00005654758,0.00001568391,0.00003857704,0.008136707,0.001077048,0.6896629,0.2853239,0.002439849,0.001466792],"study_design_scores_gemma":[0.001649128,0.0003521664,0.7913103,0.000009077939,0.00001973544,0.0005580051,0.0003548849,0.00567826,0.01964309,0.1743613,0.005371257,0.000692826],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559733,0.000337538,0.004669993,0.03693169,0.0001157443,0.001023862,0.0003047163,0.0000566013,0.0005865379],"genre_scores_gemma":[0.9962161,0.00001278772,0.0006062894,0.001148939,0.000002366844,0.000857547,0.00003245418,0.0000398436,0.001083668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7798135,"threshold_uncertainty_score":0.954388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140419148386728,"score_gpt":0.2827841059825763,"score_spread":0.261379914498709,"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."}}