{"id":"W2080689366","doi":"10.1016/j.cogbrainres.2004.12.013","title":"EEG spectral dynamics during discrimination of auditory and visual targets","year":2005,"lang":"en","type":"article","venue":"Cognitive Brain Research","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":171,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Electroencephalography; Psychology; Stimulus (psychology); Neuroscience; Audiology; EEG-fMRI; Stimulus modality; Distraction; Modality (human–computer interaction); Sensory system; Electrophysiology; Scalp; Event-related potential; Brain activity and meditation; Cognitive psychology; Artificial intelligence; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006193936,0.0001089384,0.0001341259,0.0002971539,0.0002238882,0.00006462811,0.0001719004,0.00005643622,0.00006440416],"category_scores_gemma":[0.001898301,0.0001019218,0.00003592431,0.0002736235,0.0007529582,0.0002805737,0.0002433835,0.0003617358,0.00003522696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008288227,"about_ca_system_score_gemma":0.00004823508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001229471,"about_ca_topic_score_gemma":0.00005886718,"domain_scores_codex":[0.9980568,0.0004010087,0.0001841785,0.0004112675,0.0005401737,0.0004065692],"domain_scores_gemma":[0.9979243,0.001652528,0.0000501986,0.00007788209,0.0001976633,0.00009740783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000220529,0.0003427891,0.0009563628,0.0001831295,0.0000132415,0.00004948882,0.003164641,0.000008648554,0.9364217,0.002176054,0.0008774578,0.05558594],"study_design_scores_gemma":[0.0007996164,0.0003691414,0.08056702,0.0001915621,0.000004225235,0.00002696663,0.001930821,0.01787653,0.8971758,0.0006870985,0.0001891545,0.0001820886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918156,0.00008487899,0.0007271409,0.001544803,0.0001045037,0.0002598978,0.00003414613,0.00003168858,0.005397338],"genre_scores_gemma":[0.9975874,0.00003510771,0.00008822038,0.0001060434,0.0002558932,0.00001334275,0.000005562669,0.00001588776,0.001892487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07961067,"threshold_uncertainty_score":0.4156249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05294607704433869,"score_gpt":0.386821928660696,"score_spread":0.3338758516163574,"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."}}