{"id":"W4319337184","doi":"10.1088/1741-2552/acb9be","title":"EEG-based detection of modality-specific visual and auditory sensory processing","year":2023,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Electroencephalography; Workload; Modality (human–computer interaction); Task (project management); Brain–computer interface; Sensory processing; Interface (matter); Sensory system; Cognition; Perception; Human–computer interaction; Speech recognition; Artificial intelligence; Cognitive psychology; Psychology; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002036232,0.0003030364,0.0001668355,0.0003248072,0.00006041427,0.0003168085,0.0001921091,0.0003162746,0.002429757],"category_scores_gemma":[0.00225136,0.0001167118,0.0001258783,0.0002704668,0.0001476363,0.0003112627,0.0002618458,0.0002452532,0.0003493748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007396359,"about_ca_system_score_gemma":0.0000890096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004602594,"about_ca_topic_score_gemma":0.0008144652,"domain_scores_codex":[0.9998369,0.0000417393,0.000009680381,0.00005020624,0.00004516043,0.0000162274],"domain_scores_gemma":[0.9994866,0.0002704645,0.00007562643,0.00002480617,0.0001068789,0.00003558134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002742177,0.0002306788,0.01734664,0.000733868,0.0001017247,0.0001030224,0.0002111525,0.0009642465,0.8831206,0.0002245658,0.0006291543,0.0935922],"study_design_scores_gemma":[0.0003150993,0.001981674,0.8236008,0.00008731404,0.0001917463,0.0006196977,0.0002161072,0.02174939,0.1487232,0.0008146007,0.001653184,0.0000472982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969704,0.0006644271,0.02473074,0.00008507165,0.00005855448,0.0001532988,0.0008902497,0.0001474493,0.003566244],"genre_scores_gemma":[0.9897935,0.0002468926,0.008877923,0.00005922502,0.00003779125,0.00007098387,0.0002547627,0.00001456949,0.0006444235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002429757,"threshold_uncertainty_score":0.008128345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02947985788578165,"score_gpt":0.2695824522406477,"score_spread":0.2401025943548661,"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."}}