{"id":"W2067783044","doi":"10.1016/j.neures.2008.02.001","title":"Feedback-based error monitoring processes during musical performance: An ERP study","year":2008,"lang":"en","type":"article","venue":"Neuroscience Research","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Precursory Research for Embryonic Science and Technology; McGill University","keywords":"Auditory feedback; Melody; Psychology; Context (archaeology); Speech recognition; Speech production; Piano; Cognitive psychology; Corollary; Computer science; Musical; Audiology; Neuroscience; Acoustics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006246423,0.0005896091,0.000393337,0.0002550755,0.0002482564,0.0004959605,0.0004655686,0.0007974621,0.00323303],"category_scores_gemma":[0.007291445,0.0002159819,0.0002275741,0.0003486028,0.0006132772,0.0007764846,0.0004383069,0.0007713101,0.0003874322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294705,"about_ca_system_score_gemma":0.0002184536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000795188,"about_ca_topic_score_gemma":0.0007409394,"domain_scores_codex":[0.9996861,0.00007549473,0.0000189939,0.00009024367,0.0000807339,0.00004858309],"domain_scores_gemma":[0.9981673,0.001343013,0.000160464,0.0001046866,0.0001488126,0.00007567311],"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":[0.00681299,0.0008042948,0.01106988,0.0004936631,0.00009005146,0.0008755026,0.001462179,0.0005131613,0.9008995,0.001428997,0.0006291757,0.07492056],"study_design_scores_gemma":[0.001078721,0.004357989,0.8407394,0.0002034617,0.0006107861,0.005390135,0.0009120409,0.01395552,0.1231214,0.005959256,0.003581709,0.00008962494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986395,0.0005804185,0.008643454,0.0001236231,0.00006706381,0.0001596227,0.0003167216,0.00007055755,0.003643507],"genre_scores_gemma":[0.9945409,0.0003094723,0.003557235,0.0001411706,0.0001124855,0.00009766336,0.0001598161,0.00009166613,0.000989612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00323303,"threshold_uncertainty_score":0.0108155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3448253223195537,"score_gpt":0.4430264515838263,"score_spread":0.0982011292642726,"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."}}