{"id":"W4200279944","doi":"10.3389/fnins.2021.738408","title":"Neural Measures of Pitch Processing in EEG Responses to Running Speech","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Novo Nordisk Fonden; Novo Nordisk","keywords":"Electroencephalography; Stimulus (psychology); Auditory cortex; Brainstem; Speech recognition; Audiology; Amplitude; Auditory brainstem response; Computer science; Psychology; Neuroscience; Hearing loss; Physics; Medicine; Cognitive psychology","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":[0.0006395177,0.0002032405,0.0003157742,0.0007110945,0.0001713403,0.0001374816,0.0007679328,0.00006061344,0.000006497477],"category_scores_gemma":[0.003770912,0.0002098412,0.00005677424,0.004231781,0.0004280614,0.0007956949,0.0002545987,0.0003264303,0.000003655123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008790004,"about_ca_system_score_gemma":0.0003162827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000247158,"about_ca_topic_score_gemma":0.00003006335,"domain_scores_codex":[0.9965423,0.0002815242,0.0004841026,0.001159944,0.0008629492,0.0006691547],"domain_scores_gemma":[0.9991786,0.00006247816,0.0001227817,0.0004206129,0.00006490495,0.0001505933],"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":[0.00006705493,0.0001057851,0.03077674,0.00001725505,4.141296e-8,0.0003255178,0.0007660378,0.0006323057,0.9435034,0.00002818867,0.0002261461,0.02355153],"study_design_scores_gemma":[0.0005473738,0.0001901706,0.4266599,0.0001702832,0.000003516158,0.0001815138,0.0006616407,0.01460494,0.553326,0.0003506317,0.002893768,0.0004102979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938827,0.00005055057,0.002457903,0.000689693,0.001981823,0.0002565154,0.000005781671,0.00004814441,0.0006269453],"genre_scores_gemma":[0.9935228,0.00006389845,0.002201129,0.003711887,0.00002573303,0.0000203,2.342152e-7,0.00001779657,0.0004362866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3958831,"threshold_uncertainty_score":0.8557077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07399524585428091,"score_gpt":0.3149720776154259,"score_spread":0.240976831761145,"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."}}