{"id":"W4409114225","doi":"10.18280/mmep.120312","title":"Classification of EEG Signal Using Deep Neural Network Techniques","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Electroencephalography; Artificial neural network; Computer science; Artificial intelligence; SIGNAL (programming language); Pattern recognition (psychology); Speech recognition; Neuroscience; Psychology","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":[0.0003663279,0.0005987378,0.0004290904,0.0007265464,0.0001969456,0.0007071586,0.0004227053,0.000576828,0.001521519],"category_scores_gemma":[0.001228406,0.0001686865,0.0005125038,0.0008962256,0.0001899451,0.0006878184,0.0003800872,0.000883561,0.0005238805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002329719,"about_ca_system_score_gemma":0.0003424108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002133343,"about_ca_topic_score_gemma":0.001922407,"domain_scores_codex":[0.999864,0.00002357217,0.00001246806,0.0000329164,0.00003833613,0.00002865455],"domain_scores_gemma":[0.9997547,0.00009546505,0.00003181008,0.00003090303,0.00007496389,0.00001207393],"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":[0.00024915,0.0002038533,0.00315053,0.0002184348,0.00007576808,0.0001566731,0.00007491944,0.1409618,0.05988498,0.005970835,0.00354664,0.7855064],"study_design_scores_gemma":[0.000004351324,0.00003298242,0.001278137,0.00001257578,0.00001174946,0.00004712629,0.00001471844,0.9885838,0.006378948,0.00292294,0.0007064971,0.000006198803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06395817,0.0007205886,0.9322777,0.0002918923,0.0001672072,0.00006007096,0.0002589734,0.0007132355,0.001552254],"genre_scores_gemma":[0.7662729,0.00109368,0.2256037,0.0001012485,0.0001422182,0.00009658728,0.0008197346,0.00009155511,0.005778319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002133343,"threshold_uncertainty_score":0.005089998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04681520188969131,"score_gpt":0.2601095581038923,"score_spread":0.213294356214201,"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."}}