{"id":"W4396519782","doi":"10.18280/ts.410237","title":"Diagnosing Epilepsy from EEG Using Machine Learning and Welch Spectral Analysis","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epilepsy; Electroencephalography; Spectral analysis; Computer science; Artificial intelligence; Psychology; Pattern recognition (psychology); Neuroscience; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000700043,0.0008460137,0.0005552814,0.002756676,0.0002848917,0.0006364462,0.0003276786,0.0006920294,0.001275515],"category_scores_gemma":[0.002432319,0.000180944,0.0006399421,0.001521385,0.0002105686,0.0008056102,0.000388089,0.0006170798,0.0008538348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000268584,"about_ca_system_score_gemma":0.0003770535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002441693,"about_ca_topic_score_gemma":0.00315971,"domain_scores_codex":[0.9995717,0.00008432068,0.00004583972,0.00009441829,0.0001537599,0.00004996916],"domain_scores_gemma":[0.9992573,0.0003822508,0.00006804263,0.0000419783,0.0002249066,0.00002555522],"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":[0.0004809245,0.0002353791,0.008815024,0.0003370514,0.0001794239,0.0006412189,0.0001134636,0.0775504,0.03707723,0.001415221,0.0041905,0.8689641],"study_design_scores_gemma":[0.00002929664,0.0001692328,0.01263485,0.00005844792,0.00005765977,0.0005795158,0.00009350522,0.9599068,0.02064832,0.003118974,0.002647989,0.00005545477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1528476,0.002617031,0.8361541,0.0003484852,0.0003061606,0.0001589222,0.0008953729,0.003623728,0.003048563],"genre_scores_gemma":[0.7483259,0.001412384,0.2447433,0.0001234531,0.0001907579,0.0001534127,0.002310417,0.0001160704,0.002624375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002756676,"threshold_uncertainty_score":0.004854977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839523628746046,"score_gpt":0.282604200267474,"score_spread":0.2542089639800136,"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."}}