{"id":"W4390574613","doi":"10.1088/1741-2552/ad1ac1","title":"EEG-based hierarchical classification of level of demand and modality of auditory and visual sensory processing","year":2024,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modality (human–computer interaction); Sensory system; Electroencephalography; Sensory processing; Computer science; Stimulus modality; Speech recognition; Psychology; Artificial intelligence; Cognitive 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001836318,0.00006381006,0.000162976,0.0001085483,0.00001719656,0.00002328608,0.00009836311,0.00003055438,2.825945e-7],"category_scores_gemma":[0.00002179968,0.00005237899,0.00004061891,0.0001694661,0.00004603856,0.0002091611,0.00003098676,0.0001546856,2.23812e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008362942,"about_ca_system_score_gemma":0.00003843169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001352694,"about_ca_topic_score_gemma":2.036395e-7,"domain_scores_codex":[0.9993247,0.00001670451,0.0003387355,0.00009219486,0.0001570482,0.00007058681],"domain_scores_gemma":[0.9995124,0.0001436233,0.0001547459,0.00005896423,0.00007918221,0.00005109969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001742744,0.00005416339,0.0004602008,0.0008395741,0.00002337498,0.000009269416,0.0002085833,0.05794856,0.8682801,0.002967573,0.00002922262,0.06916199],"study_design_scores_gemma":[0.0001075646,0.00007470163,0.04164635,0.0001747323,0.00001121954,0.00003071148,0.000006597858,0.9482727,0.009464751,0.00013587,0.00003046168,0.00004434692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6448278,0.0005963393,0.3540889,0.0003704261,0.00007504143,0.00002896281,0.00000204402,0.000007594181,0.000002893808],"genre_scores_gemma":[0.9931068,0.00002891406,0.006777962,0.000006454639,0.00007089875,7.205948e-7,1.681662e-7,0.000004772305,0.000003339602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8903241,"threshold_uncertainty_score":0.2135953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04929912999634299,"score_gpt":0.2938924454504926,"score_spread":0.2445933154541496,"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."}}