{"id":"W3144738685","doi":"10.18280/ts.380107","title":"Signal Dynamics Analysis for Epileptic Seizure Classification on EEG Signals","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Telkom","keywords":"Electroencephalography; Ictal; Epilepsy; Pattern recognition (psychology); Computer science; Artificial intelligence; Epileptic seizure; Speech recognition; Naive Bayes classifier; SIGNAL (programming language); Psychology; Neuroscience; Support vector machine","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":[0.0004853499,0.0006041232,0.0004879085,0.002296303,0.0002906473,0.0005897617,0.0002492014,0.0003880826,0.001637696],"category_scores_gemma":[0.001543292,0.0001072158,0.0005585111,0.001292089,0.0001954399,0.0006421366,0.0002770553,0.0003346411,0.0008721864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002364228,"about_ca_system_score_gemma":0.0003338474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681632,"about_ca_topic_score_gemma":0.001355508,"domain_scores_codex":[0.9996251,0.00006078454,0.00004274549,0.00008405701,0.0001572659,0.00002994922],"domain_scores_gemma":[0.9996701,0.0001292044,0.00004348989,0.00002271496,0.0001212616,0.00001309834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002563752,0.0001494592,0.005075017,0.000246655,0.00008531292,0.0002302473,0.0001097232,0.02954229,0.08412623,0.00271039,0.002331752,0.8751366],"study_design_scores_gemma":[0.00001542386,0.0002090969,0.0194133,0.00005010856,0.00006272639,0.0004049992,0.0001052163,0.9490961,0.02285639,0.002580288,0.00517087,0.00003539059],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08448961,0.001387509,0.9091637,0.0002254678,0.0001250223,0.0001754448,0.0005301003,0.001764945,0.002138241],"genre_scores_gemma":[0.6553867,0.001342331,0.3388229,0.00007635124,0.0001346168,0.0002185766,0.001518747,0.000106969,0.002392892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002296303,"threshold_uncertainty_score":0.005478621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05182252665127585,"score_gpt":0.2932550666738257,"score_spread":0.2414325400225499,"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."}}