{"id":"W2997323527","doi":"","title":"Mapping Superficial White Matter Anomaly in Autism Spectrum Disorder: Effects on Functional Networks and Behavior","year":2019,"lang":"en","type":"article","venue":"INSAR 2019 Annual Meeting","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Autism spectrum disorder; White matter; Autism; Psychology; Anomaly (physics); White (mutation); Cognitive psychology; Developmental psychology; Physics; Medicine; Biology; Condensed matter physics; Magnetic resonance imaging","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":[0.000561304,0.0003798065,0.000285808,0.0006044924,0.0002250002,0.0005163737,0.000254725,0.0003387358,0.002246084],"category_scores_gemma":[0.002717902,0.0001292454,0.0002738503,0.0002730963,0.0003140155,0.0004724228,0.0003941084,0.0003226631,0.000232028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002713799,"about_ca_system_score_gemma":0.0003376334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003546057,"about_ca_topic_score_gemma":0.00618379,"domain_scores_codex":[0.9998696,0.00004051621,0.000008723574,0.00003942997,0.00002888866,0.00001293697],"domain_scores_gemma":[0.9995093,0.0002220941,0.0000972307,0.00006029251,0.00004073379,0.0000703488],"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":[0.003569931,0.0006759447,0.2382821,0.0002619819,0.0004994255,0.001023441,0.0004535888,0.008930771,0.5499269,0.001120394,0.001528648,0.1937269],"study_design_scores_gemma":[0.0001266088,0.001235632,0.8606713,0.00006039544,0.0004306437,0.002300734,0.000400231,0.04827398,0.07924254,0.006051676,0.001162706,0.00004354695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911045,0.0001727012,0.0077875,0.0001273368,0.00001460009,0.00001314285,0.0001962394,0.00009670242,0.000487214],"genre_scores_gemma":[0.9937387,0.0001622273,0.004943423,0.00003867683,0.00001150487,0.00001933778,0.0001432789,0.00007503893,0.0008679171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003546057,"threshold_uncertainty_score":0.007513881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040103090340569,"score_gpt":0.2424277867736823,"score_spread":0.2320267558702767,"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."}}