{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009292154,0.0004730618,0.0005291044,0.001325374,0.0002338531,0.0005509988,0.0003875481,0.0003779114,0.0009131765],"category_scores_gemma":[0.002625237,0.0001019919,0.0004817556,0.0006989394,0.0001628471,0.0005489023,0.0002522694,0.0002724231,0.0002948424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001872469,"about_ca_system_score_gemma":0.0003833236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358619,"about_ca_topic_score_gemma":0.001107001,"domain_scores_codex":[0.9993703,0.000147527,0.0000775832,0.0001307942,0.0002073027,0.00006651897],"domain_scores_gemma":[0.9988621,0.0005509584,0.0001262066,0.00006864207,0.0003607594,0.00003126377],"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":[0.0004450884,0.0006992539,0.04135366,0.0003841844,0.0002487671,0.0004593877,0.0003115876,0.114495,0.02264699,0.00166368,0.002385812,0.8149066],"study_design_scores_gemma":[0.0000111963,0.0002378118,0.02000074,0.00002921501,0.00003713972,0.0002014056,0.0001572411,0.9683143,0.009287588,0.0008127305,0.0008934593,0.00001708255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6766095,0.001006838,0.3160484,0.000304846,0.0001163748,0.0001639485,0.000482166,0.001495821,0.003772084],"genre_scores_gemma":[0.9462192,0.0002246061,0.05179908,0.00003166515,0.00003244356,0.00007078598,0.0005710454,0.00002636089,0.001024814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001358619,"threshold_uncertainty_score":0.004914224,"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."}}