{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000373493,0.0002815528,0.0003012393,0.0003840889,0.0001934541,0.0001218363,0.0002649981,0.0001652572,0.0003426284],"category_scores_gemma":[0.00008606681,0.0002801838,0.00006344379,0.0004832887,0.00009341959,0.0003577924,0.0002786043,0.0006433492,0.001143724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009169198,"about_ca_system_score_gemma":0.00004330644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000369113,"about_ca_topic_score_gemma":0.0001821449,"domain_scores_codex":[0.997302,0.000271371,0.0003293946,0.0007988618,0.0004856115,0.0008127769],"domain_scores_gemma":[0.9990581,0.0004168742,0.00009079737,0.0003183819,0.000006157933,0.0001096961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008937049,0.0001730215,0.989639,0.00005590878,0.000003922632,0.00006414513,0.0007830927,0.0007809686,0.004703442,0.002027137,0.0002699494,0.00141005],"study_design_scores_gemma":[0.001066022,0.0002453418,0.9930511,0.0001544661,0.000006235065,0.00003003124,0.0001750984,0.002721391,0.001311303,0.000365649,0.0005043395,0.000369092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906004,0.0001625937,0.00009856072,0.003351898,0.0006893841,0.0007851765,0.00001924521,0.00008047501,0.004212248],"genre_scores_gemma":[0.9976696,0.00002960877,0.00003344331,0.0006767021,0.0001605795,0.0000481945,0.000006089531,0.00006048482,0.001315342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007069136,"threshold_uncertainty_score":0.999965,"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."}}