{"id":"W4213412628","doi":"10.1177/10738584221076133","title":"Neurobehavioral and Clinical Comorbidities in Epilepsy: The Role of White Matter Network Disruption","year":2022,"lang":"en","type":"article","venue":"The Neuroscientist","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Epilepsy; Disconnection; White matter; Neuroscience; Connectome; Psychology; Generalizability theory; Neuromodulation; Cognition; Neuroplasticity; Connectomics; Medicine; Magnetic resonance imaging; Developmental psychology; Functional connectivity; Central nervous system; Radiology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006410899,0.00007550133,0.0001591875,0.00003823034,0.0004244364,0.00002317028,0.0001512764,0.00001342797,0.0001958019],"category_scores_gemma":[0.00002612351,0.00004274826,0.00006751258,0.0002498692,0.0004230466,0.00003127056,0.0003949669,0.0003565149,0.000008569034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001896497,"about_ca_system_score_gemma":0.00002831766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008526667,"about_ca_topic_score_gemma":0.00005362711,"domain_scores_codex":[0.9985763,0.000435793,0.0002346765,0.0001993064,0.0003245108,0.0002294396],"domain_scores_gemma":[0.9993906,0.0001407404,0.00006631518,0.0003268048,0.00001517561,0.00006033808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001445006,0.0002478672,0.9960441,0.000004834911,0.000003660662,0.00004435468,0.0001343937,0.00002771668,0.0002564664,0.0001495584,0.00199056,0.0009519795],"study_design_scores_gemma":[0.0005850697,0.0004747215,0.9901115,0.00000744024,0.00003479191,0.0001014514,0.0001611871,0.0004440799,0.00002917102,0.0002497134,0.007766844,0.00003399867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956497,0.0001917406,0.000002134195,0.002649195,0.0004537916,0.000398397,0.00003072194,0.000009472847,0.0006148797],"genre_scores_gemma":[0.9976174,0.00007597951,0.00001068991,0.0007173987,0.00007016685,0.00004666075,0.0000113941,0.0000109186,0.001439446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005932576,"threshold_uncertainty_score":0.3264464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03043752714065643,"score_gpt":0.3329556506276106,"score_spread":0.3025181234869542,"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."}}