{"id":"W3203024605","doi":"10.3389/fnins.2021.635937","title":"Modulating Cortical Instrument Representations During Auditory Stream Segregation and Integration With Polyphonic Music","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; International Laboratory for Brain, Music and Sound Research; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit Maastricht","keywords":"Task (project management); Active listening; Speech recognition; Multisensory integration; Auditory cortex; Psychology; Computer science; Electroencephalography; Cognitive psychology; Communication; Sensory system; 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":[0.000145822,0.0001618928,0.0001518248,0.0002182907,0.0004919907,0.0001952081,0.0001939914,0.00003785851,0.000009411206],"category_scores_gemma":[0.0008468279,0.0001502457,0.00002381794,0.00119338,0.000506944,0.001043751,0.0001240127,0.0002954476,0.000002040154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001082097,"about_ca_system_score_gemma":0.0001387479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002332259,"about_ca_topic_score_gemma":0.00005910434,"domain_scores_codex":[0.9976829,0.0001980245,0.0002709182,0.0009660923,0.0005055665,0.0003765498],"domain_scores_gemma":[0.999356,0.00006155529,0.0001086224,0.0003159171,0.00003713031,0.0001207967],"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":[0.0000248013,0.00008313482,0.006806829,0.000008733672,2.209725e-7,0.00008012732,0.0004607607,0.0005870654,0.9858881,0.0003767466,0.00005227005,0.00563126],"study_design_scores_gemma":[0.0008248569,0.00022488,0.6235354,0.00008689087,0.000009218195,0.000284291,0.001033669,0.05971909,0.3133636,0.0005486754,0.00007150233,0.0002978794],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887195,0.000007715728,0.008706478,0.0002645006,0.001651991,0.0002309824,0.000004984848,0.00006586893,0.0003479287],"genre_scores_gemma":[0.9973716,0.00007890976,0.001566993,0.0006267484,0.00005454529,0.00003183128,0.000001884832,0.00001310284,0.0002544082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6725244,"threshold_uncertainty_score":0.6126842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02764504177361093,"score_gpt":0.2574246857496055,"score_spread":0.2297796439759945,"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."}}