{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005051051,0.00009124837,0.0002149115,0.0003933886,0.0001809166,0.00006285693,0.000499074,0.0000662266,0.0001836316],"category_scores_gemma":[0.000576627,0.00007544878,0.0001111491,0.003090001,0.0001781353,0.0001509525,0.0001870504,0.0005006489,0.00008460684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002229816,"about_ca_system_score_gemma":0.0000325206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003098995,"about_ca_topic_score_gemma":0.00001718002,"domain_scores_codex":[0.9980087,0.0003329335,0.0001912554,0.0004161476,0.0007187267,0.000332279],"domain_scores_gemma":[0.9990014,0.0004396191,0.00005000684,0.0002607787,0.0001250185,0.0001231632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001603809,0.0000544184,0.01138153,0.00007160983,0.00007451812,0.00001361285,0.001706213,0.001523319,0.9571234,0.0001008829,0.002944364,0.02484575],"study_design_scores_gemma":[0.0001367475,0.0004084578,0.07099248,0.00001260883,0.00002766967,0.000003499326,0.0001089488,0.06647439,0.8585601,0.00001882146,0.00316552,0.00009075802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993551,0.00004873099,0.0002253812,0.001272048,0.00008115073,0.0001364708,0.00001301064,0.00005350974,0.004618675],"genre_scores_gemma":[0.9988739,0.00005343855,0.00006684942,0.0002965075,0.00009167369,0.00000948994,0.000001840498,0.000009759812,0.0005964906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0985633,"threshold_uncertainty_score":0.3076712,"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."}}