{"id":"W2905502356","doi":"10.1093/cercor/bhy321","title":"The Superficial White Matter in Autism and Its Role in Connectivity Anomalies and Symptom Severity","year":2018,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Mental Health; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neurotypical; White matter; Neuroscience; Neuroimaging; Temporoparietal junction; Autism; Autism spectrum disorder; Psychology; Fractional anisotropy; Tractography; Connectome; Diffusion MRI; Gyrification; Functional connectivity; Magnetic resonance imaging; Cognition; Medicine; Developmental psychology; Cerebral cortex; Prefrontal cortex","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004963762,0.0004841263,0.0002816724,0.001478577,0.0002581282,0.0005768198,0.0001868337,0.0002937868,0.00103376],"category_scores_gemma":[0.002217901,0.0001480105,0.0002791125,0.0007311636,0.0008177509,0.000600973,0.0008586871,0.0002985215,0.00008011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002032161,"about_ca_system_score_gemma":0.000194431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002731304,"about_ca_topic_score_gemma":0.005958633,"domain_scores_codex":[0.9996881,0.00008487948,0.00002877207,0.000114123,0.00005377274,0.00003041746],"domain_scores_gemma":[0.9990645,0.000263816,0.0004348106,0.0001141686,0.0000523927,0.00007031776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008956573,0.00006976035,0.7200185,0.0006005744,0.0008344768,0.001174692,0.003119936,0.003690237,0.1878168,0.003290222,0.0004303132,0.07805876],"study_design_scores_gemma":[0.000003867239,0.00008103516,0.9915531,0.00003469483,0.00007825188,0.0006802384,0.0003793053,0.001539817,0.00315763,0.002130816,0.0003493475,0.00001174272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961301,0.0004554519,0.002693752,0.00005570469,0.000004028497,0.000007857468,0.000180079,0.00003067268,0.0004422941],"genre_scores_gemma":[0.9980599,0.000178336,0.001512274,0.000008217691,0.000004637725,0.00001072871,0.0001208762,0.00001493964,0.00009002112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002731304,"threshold_uncertainty_score":0.005430877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543661807121229,"score_gpt":0.2385467452251961,"score_spread":0.2231101271539838,"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."}}