{"id":"W3092070820","doi":"10.1016/j.eplepsyres.2020.106483","title":"Performance analysis of EEG seizure detection features","year":2020,"lang":"en","type":"article","venue":"Epilepsy Research","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Ictal; Electroencephalography; Epilepsy; Pattern recognition (psychology); Bhattacharyya distance; Epileptic seizure; Similarity (geometry); Artificial intelligence; Feature (linguistics); Computer science; Neuroscience; Psychology","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":[0.001259301,0.0008500257,0.000778311,0.001673184,0.0003061958,0.001240143,0.0003887659,0.00059587,0.002144857],"category_scores_gemma":[0.006444538,0.0001438361,0.000444644,0.0009705574,0.0001350322,0.0006695993,0.0005353262,0.0003751331,0.0009949176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004340947,"about_ca_system_score_gemma":0.0007188922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006322253,"about_ca_topic_score_gemma":0.004729271,"domain_scores_codex":[0.9991598,0.0001459144,0.00008710023,0.0001919692,0.0002710708,0.0001441106],"domain_scores_gemma":[0.9964294,0.002319433,0.0001708163,0.000171904,0.0007857055,0.0001227404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003957378,0.0004944249,0.04229222,0.0002411865,0.0004104058,0.0002641458,0.0000856665,0.04149071,0.07926888,0.0006648686,0.005142797,0.8256873],"study_design_scores_gemma":[0.00007078484,0.001102668,0.07905462,0.00001980157,0.0002089843,0.0006348033,0.000109301,0.8472065,0.06925815,0.0005365888,0.001749615,0.00004803311],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816301,0.002263049,0.1061032,0.0003835766,0.0001980246,0.00007292481,0.001747095,0.004251835,0.003350216],"genre_scores_gemma":[0.9751129,0.0002876777,0.0193393,0.00004259115,0.00005985021,0.0000317836,0.002773084,0.0001340902,0.002218893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006322253,"threshold_uncertainty_score":0.01257092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0907331673401507,"score_gpt":0.3619588454298241,"score_spread":0.2712256780896734,"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."}}