{"id":"W7081998745","doi":"10.18280/isi.300723","title":"Multiclass Classification of Epileptic Seizure Using Machine Learning","year":2025,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epileptic seizure; Random forest; Epilepsy; Support vector machine; Preprocessor; Hyperparameter; Pattern recognition (psychology); Electroencephalography","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":[0.001816472,0.0005781518,0.0008112913,0.001342285,0.0002898879,0.0006211885,0.0005150825,0.0007109701,0.0008868065],"category_scores_gemma":[0.004136177,0.000139018,0.0006230331,0.0008058628,0.0002107886,0.0005789323,0.0003438334,0.0005642107,0.0003684188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003434489,"about_ca_system_score_gemma":0.0004681569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002834801,"about_ca_topic_score_gemma":0.002089666,"domain_scores_codex":[0.999171,0.0003492045,0.00009200168,0.0001302165,0.0001721447,0.00008547086],"domain_scores_gemma":[0.9984692,0.0009365911,0.000132612,0.0001374083,0.0002955481,0.0000287177],"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":[0.0002339307,0.0004314,0.007066928,0.000124805,0.0001727005,0.0001211464,0.00008135489,0.2575985,0.01106704,0.001030988,0.001777386,0.7202938],"study_design_scores_gemma":[0.000004250498,0.00006954926,0.001808415,0.00001021253,0.00001287276,0.00003512666,0.00001783056,0.9944457,0.002523906,0.000766148,0.0002975138,0.00000841984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3007496,0.001542734,0.6923693,0.0003407217,0.0001975919,0.0001727347,0.0003563398,0.002087682,0.002183243],"genre_scores_gemma":[0.8776816,0.0002593957,0.1203158,0.00005074043,0.00004797359,0.00009413112,0.0005161643,0.00003486677,0.0009993374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002834801,"threshold_uncertainty_score":0.009606481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974046374790484,"score_gpt":0.2542906270453251,"score_spread":0.2245501632974202,"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."}}