{"id":"W4386070797","doi":"10.11159/icbes23.161","title":"Classification of Auditory Oddball Evoked Potentials using Group Task Related Component Analysis","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Component (thermodynamics); Task (project management); Computer science; Group (periodic table); Oddball paradigm; Speech recognition; Independent component analysis; Audiology; Component analysis; Electroencephalography; Psychology; Artificial intelligence; Event-related potential; Neuroscience; Engineering; Medicine; Physics","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":[0.0009892154,0.0008167789,0.0004924444,0.001628487,0.0001722068,0.0005678039,0.0002673242,0.0003272157,0.0009172907],"category_scores_gemma":[0.002733153,0.00007157535,0.0006969629,0.0008683648,0.0002054425,0.0003480892,0.0005181205,0.0003790426,0.0004728046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001384708,"about_ca_system_score_gemma":0.0004608018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001724721,"about_ca_topic_score_gemma":0.001677457,"domain_scores_codex":[0.9996481,0.00008808899,0.00003509107,0.0001030562,0.0000798288,0.00004584537],"domain_scores_gemma":[0.9993369,0.0002860376,0.00007409207,0.00009556749,0.0001681051,0.00003925577],"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":[0.001208282,0.0004422477,0.03626056,0.0003241013,0.0003330654,0.0003899527,0.0002245642,0.01440435,0.2624252,0.001099223,0.002350344,0.6805381],"study_design_scores_gemma":[0.0001586479,0.001335936,0.3287121,0.00006744742,0.0005075356,0.001360876,0.0004074068,0.566088,0.09197403,0.004517328,0.004727956,0.000142849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6423541,0.0005851352,0.3521424,0.0001364151,0.0001173663,0.0005474509,0.001482686,0.00124759,0.001386832],"genre_scores_gemma":[0.8478231,0.0003881178,0.1477547,0.00003372136,0.00005816975,0.0003289364,0.002653628,0.0001140792,0.000845402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001724721,"threshold_uncertainty_score":0.0052315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731893890521207,"score_gpt":0.2358560954035041,"score_spread":0.2185371564982921,"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."}}