{"id":"W4353052315","doi":"10.18280/ts.400104","title":"Investigation of Epileptic Seizure Signatures Classification in EEG Using Supervised Machine Learning Algorithms","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Epileptic seizure; Artificial intelligence; Computer science; Electroencephalography; Pattern recognition (psychology); Epilepsy; Algorithm; Machine learning; Speech recognition; Psychology; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000446768,0.0001515758,0.0001820029,0.0003229855,0.0001011674,0.00004736426,0.0002251149,0.00007441101,0.0001088354],"category_scores_gemma":[0.00008506553,0.0001415144,0.00005457429,0.0007495921,0.00009347629,0.0002195382,0.00005485472,0.0002578872,0.00001670488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004846162,"about_ca_system_score_gemma":0.00003910995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004428835,"about_ca_topic_score_gemma":0.000009838423,"domain_scores_codex":[0.9983386,0.0002833587,0.000399807,0.0003583419,0.0003659641,0.0002539042],"domain_scores_gemma":[0.9993733,0.0002771739,0.0001460036,0.000110015,0.00003621407,0.00005726497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002210815,0.00002946812,0.006052983,0.00005011864,0.000004966305,0.00001181418,0.001604974,0.02076234,0.9674689,0.0002436972,0.00007208912,0.003676546],"study_design_scores_gemma":[0.0004734333,0.0001120184,0.02431851,0.00008119257,0.000007423037,0.00000315114,0.0001668426,0.7108628,0.2635158,0.0002574122,0.00007739689,0.0001240227],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968622,0.00003414904,0.002151831,0.0003495994,0.0001231977,0.0002590571,0.00001458701,0.0001257372,0.00007966415],"genre_scores_gemma":[0.998854,0.00001309581,0.0007468367,0.0001973767,0.00006050259,0.00001332246,0.00003548183,0.00001841608,0.00006092818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7039531,"threshold_uncertainty_score":0.5770791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08028173409294487,"score_gpt":0.2885173627442517,"score_spread":0.2082356286513068,"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."}}