{"id":"W4401131976","doi":"10.1007/978-3-031-66428-1_45","title":"Enhanced Epileptic Seizure Detection Based on Information Fusion Techniques","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Epileptic seizure; Epilepsy; Information fusion; Computer science; Psychology; Artificial intelligence; Neuroscience","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"],"consensus_categories":[],"category_scores_codex":[0.000265358,0.0003930898,0.000394396,0.0003602676,0.0001059828,0.0003308959,0.0001697357,0.0007068503,0.00001559555],"category_scores_gemma":[0.00007783291,0.0003038174,0.00009107262,0.0001123256,0.00005842796,0.0001379325,0.00006237756,0.000921527,0.00002221002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001017089,"about_ca_system_score_gemma":0.00001879014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001812826,"about_ca_topic_score_gemma":0.00004002318,"domain_scores_codex":[0.9983907,0.0000612103,0.0004806759,0.0005297057,0.000289957,0.0002478057],"domain_scores_gemma":[0.9988133,0.0005215025,0.0002190621,0.0003543819,0.00003793008,0.00005388006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002584323,0.00002865325,0.000005220822,0.001512738,0.00002556992,0.00007483635,0.0006466694,0.3759831,0.01529407,0.00700178,0.0005023893,0.5986665],"study_design_scores_gemma":[0.0002015318,0.0005266653,0.000003267761,0.00467397,0.00002607934,0.00005121078,0.00000331653,0.9178364,0.03080761,0.003067699,0.04224287,0.0005594291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001522153,0.001939693,0.8761635,0.0002708934,0.005531098,0.002115179,0.00004400337,0.0007304341,0.111683],"genre_scores_gemma":[0.9956947,0.0001958741,0.0000378794,0.0007652713,0.000720584,0.00004679639,0.00002174593,0.00004226291,0.002474886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9941726,"threshold_uncertainty_score":0.9999414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159474126818655,"score_gpt":0.2301764383596893,"score_spread":0.2185816970915028,"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."}}