{"id":"W2772841515","doi":"10.1016/j.neuropsychologia.2017.12.007","title":"Detecting our own vocal errors: An event-related study of the thresholds for perceiving and compensating for vocal pitch errors","year":2017,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Auditory feedback; Audiology; Perception; Dissociation (chemistry); Pitch perception; Event-related potential; Auditory perception; Communication; Electroencephalography; Neuroscience; Chemistry","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":[0.0006459487,0.0002452815,0.0002887251,0.0002197634,0.0002301391,0.0007724509,0.0004158574,0.0007009523,0.00242221],"category_scores_gemma":[0.005714912,0.0002572673,0.0001598682,0.0001631508,0.0006647162,0.0005252718,0.0003391873,0.0007814912,0.0002736551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649432,"about_ca_system_score_gemma":0.0002203829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127564,"about_ca_topic_score_gemma":0.001363746,"domain_scores_codex":[0.9996901,0.0000662864,0.00002202044,0.00009715178,0.00007718156,0.00004721417],"domain_scores_gemma":[0.9981323,0.001111352,0.0002614521,0.0001671334,0.0001457499,0.0001820753],"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":[0.007157026,0.00139376,0.04552896,0.0001448992,0.0001100933,0.0004521275,0.001757252,0.0004348092,0.9195363,0.001006211,0.0003220216,0.02215664],"study_design_scores_gemma":[0.0003801718,0.00355773,0.9145068,0.00002387747,0.0001961916,0.001870786,0.001019555,0.008148515,0.06683917,0.002051041,0.001349501,0.00005659238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984336,0.00004184768,0.0007744717,0.00003346767,0.0000135779,0.00002981429,0.00005084023,0.000009875484,0.000612446],"genre_scores_gemma":[0.9984002,0.000040047,0.0007812686,0.00009979754,0.00001807968,0.00003130939,0.00006972322,0.00002557495,0.0005340056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00242221,"threshold_uncertainty_score":0.008103132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1041614937337459,"score_gpt":0.3897743076870839,"score_spread":0.285612813953338,"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."}}