{"id":"W7116828810","doi":"10.18280/mmep.121102","title":"Electroencephalogram Feature Extraction and Classification of Motor Imagery EEG Based on Machine Learning Algorithms","year":2025,"lang":"","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Motor imagery; Feature extraction; Pattern recognition (psychology); Feature (linguistics); 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":[0.0003231994,0.0003529679,0.0005835412,0.0006949032,0.0001953112,0.0005379249,0.000315498,0.0003656648,0.001258494],"category_scores_gemma":[0.001363664,0.0001337466,0.0005619898,0.000911487,0.0001791842,0.0005964428,0.0002078997,0.0004622978,0.0003481126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802858,"about_ca_system_score_gemma":0.0003593193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013292,"about_ca_topic_score_gemma":0.0009115495,"domain_scores_codex":[0.9998469,0.00003112141,0.00001859913,0.00003713781,0.00004422021,0.00002198646],"domain_scores_gemma":[0.9997317,0.0001442559,0.00002849208,0.00002097778,0.00006687269,0.000007680394],"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":[0.0003340853,0.0001597189,0.003650415,0.0002167935,0.00008312799,0.0001233824,0.00007052915,0.0681826,0.06786285,0.005885131,0.001799989,0.8516315],"study_design_scores_gemma":[0.0000164445,0.00007735104,0.008226029,0.00001803315,0.00003572992,0.0001839562,0.0000222599,0.9725711,0.01427852,0.003380123,0.001173301,0.00001712481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06936262,0.0006544985,0.9280579,0.0001708503,0.00006126826,0.00005733985,0.0001415258,0.0004367966,0.001057122],"genre_scores_gemma":[0.7012784,0.0006805775,0.2952775,0.00004640859,0.00009304702,0.0001526069,0.0003480239,0.00005759125,0.002065868],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0013292,"threshold_uncertainty_score":0.004210055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145414353841896,"score_gpt":0.2498407152205684,"score_spread":0.2283865716821495,"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."}}