{"id":"W3028477572","doi":"10.18280/ts.370214","title":"Comparison of Classification Models Using Entropy Based Features from Sub-bands of EEG","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rheinische Friedrich-Wilhelms-Universität Bonn","keywords":"Electroencephalography; Pattern recognition (psychology); Artificial intelligence; Computer science; Entropy (arrow of time); Mathematics; Speech recognition; Physics; Psychology; Neuroscience; Thermodynamics","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":[0.002253692,0.001041455,0.001021018,0.002012345,0.0002688279,0.001232625,0.0005259254,0.0006569029,0.001021303],"category_scores_gemma":[0.003531707,0.0002066068,0.001047925,0.00067054,0.0002257476,0.0009869095,0.0004318124,0.0006336907,0.0005766623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004751354,"about_ca_system_score_gemma":0.0005132518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003196229,"about_ca_topic_score_gemma":0.001751718,"domain_scores_codex":[0.9993863,0.0001741912,0.00005246258,0.0001199288,0.00017343,0.00009365202],"domain_scores_gemma":[0.9980793,0.001362598,0.000122111,0.00009280647,0.0002866776,0.00005657467],"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":[0.001828103,0.0006665017,0.04537217,0.0002963853,0.0007183553,0.0002350536,0.0002518008,0.4222306,0.0101647,0.001353377,0.002560011,0.5143229],"study_design_scores_gemma":[0.0000106983,0.0002263208,0.00764928,0.00002179034,0.00007015083,0.00006645492,0.0000571977,0.9886941,0.002240593,0.0006351204,0.0003105027,0.00001769448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7545066,0.003701477,0.2334229,0.0007012859,0.0002962059,0.000157805,0.0006869575,0.001455771,0.005070957],"genre_scores_gemma":[0.9729086,0.0006371134,0.02401138,0.00005596739,0.00008602312,0.00007120089,0.0006994273,0.00004029085,0.001490045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003196229,"threshold_uncertainty_score":0.01191884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1312306915138192,"score_gpt":0.3205394357720592,"score_spread":0.18930874425824,"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."}}