{"id":"W2061250211","doi":"10.1016/j.eplepsyres.2011.01.018","title":"Limits of 2D-TCA in detecting BOLD responses to epileptic activity","year":2011,"lang":"en","type":"article","venue":"Epilepsy Research","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; U.S. Public Health Service","keywords":"Ictal; Electroencephalography; Epilepsy; Premovement neuronal activity; EEG-fMRI; Neuroscience; Brain activity and meditation; Pattern recognition (psychology); Psychology; Nuclear magnetic resonance; Artificial intelligence; Computer science; Physics","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":[0.01110148,0.0008380785,0.00118734,0.001368861,0.0006487067,0.002778621,0.001008957,0.0031321,0.001573758],"category_scores_gemma":[0.02573281,0.0008361552,0.0004288915,0.000554324,0.001608628,0.00314184,0.001546114,0.001235727,0.00103588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000330472,"about_ca_system_score_gemma":0.0007133489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00165912,"about_ca_topic_score_gemma":0.003221458,"domain_scores_codex":[0.9969004,0.001828343,0.0001564515,0.0003623999,0.0006418037,0.0001105781],"domain_scores_gemma":[0.9485571,0.04768008,0.0007624726,0.001231526,0.001367274,0.0004015791],"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":[0.006902139,0.0004229385,0.05760233,0.003200894,0.001102174,0.001365278,0.001654725,0.02185661,0.5015702,0.0176713,0.003452034,0.3831994],"study_design_scores_gemma":[0.0004086803,0.00349507,0.1528327,0.001401004,0.001864611,0.01642231,0.001614844,0.3412736,0.3398985,0.09679556,0.04345816,0.0005348905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3849643,0.04030435,0.5466333,0.002238666,0.0003912672,0.0003819965,0.00105179,0.001224446,0.02280992],"genre_scores_gemma":[0.8512889,0.008875029,0.135172,0.001089047,0.0003665416,0.0003579467,0.0003889065,0.0003237878,0.002137806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01110148,"threshold_uncertainty_score":0.05871093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3397999452756565,"score_gpt":0.408930028069651,"score_spread":0.06913008279399446,"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."}}