{"id":"W2759454636","doi":"10.1177/1550059417733386","title":"Neural Processing of Musical and Vocal Emotions Through Cochlear Implants Simulation","year":2017,"lang":"en","type":"article","venue":"Clinical EEG and Neuroscience","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; International Laboratory for Brain, Music and Sound Research","funders":"Centre for Research on Brain, Language and Music","keywords":"Cochlear implant; Audiology; Latency (audio); N100; Psychology; Active listening; Musical; Speech recognition; Cognition; Event-related potential; Computer science; Communication; Neuroscience; Medicine","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":[0.0001526881,0.000271051,0.0001252694,0.0001420525,0.00005074924,0.0002458479,0.0001591577,0.0001400688,0.0008635548],"category_scores_gemma":[0.001033149,0.00008980506,0.0001748872,0.00006705873,0.000283908,0.0002123112,0.000349957,0.0001989413,0.0001044591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000102086,"about_ca_system_score_gemma":0.0001644242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002927992,"about_ca_topic_score_gemma":0.0003014234,"domain_scores_codex":[0.9999099,0.00002019309,0.00001002711,0.00001184384,0.00003322859,0.00001482199],"domain_scores_gemma":[0.999828,0.00009520192,0.00002186775,0.00001979064,0.00001738415,0.00001782623],"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":[0.001315108,0.0001062909,0.003783483,0.000165902,0.00003659421,0.000311117,0.0003287999,0.002904891,0.9436024,0.0002521074,0.00009181396,0.0471017],"study_design_scores_gemma":[0.0002550616,0.007473889,0.2007875,0.00009093513,0.0003026073,0.005560549,0.001243578,0.04595758,0.7317019,0.0027272,0.003825208,0.00007413873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928023,0.0001428449,0.006465261,0.0000338452,0.000009436212,0.00001928695,0.00003153889,0.00003009325,0.0004653088],"genre_scores_gemma":[0.9980883,0.00009931867,0.001550901,0.000009687035,0.000002650251,0.00002260383,0.00003482724,0.000004575168,0.0001870505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008635548,"threshold_uncertainty_score":0.002888858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2173292004808936,"score_gpt":0.4626978276947931,"score_spread":0.2453686272138995,"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."}}