{"id":"W2040170572","doi":"10.1016/j.neulet.2015.03.011","title":"The specificity of neural responses to music and their relation to voice processing: An fMRI-adaptation study","year":2015,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music; Douglas Mental Health University Institute","funders":"Canadian Institutes of Health Research; Universidad Nacional Autónoma de México; Consejo Nacional de Ciencia y Tecnología","keywords":"Functional magnetic resonance imaging; Stimulus (psychology); Psychology; Superior temporal gyrus; Neural correlates of consciousness; Cognitive psychology; Neuroscience; Neural adaptation; Temporal lobe; Adaptation (eye); Audiology; Cognition","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":[0.0008807296,0.0003604675,0.0003923661,0.0002378914,0.0003159175,0.000436061,0.0007217323,0.0007022996,0.003985937],"category_scores_gemma":[0.003398272,0.0003851228,0.0003733053,0.0002523356,0.001259648,0.0006806318,0.0006166703,0.001206194,0.000476609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001684446,"about_ca_system_score_gemma":0.000235309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008652869,"about_ca_topic_score_gemma":0.001322349,"domain_scores_codex":[0.9996926,0.0000745513,0.00001909293,0.0001215751,0.00005107107,0.00004114743],"domain_scores_gemma":[0.9991181,0.0005616735,0.0000565127,0.0001310373,0.00006017823,0.00007252079],"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":[0.002350512,0.0003795533,0.001955936,0.00009966541,0.00006115458,0.0001555991,0.0002543264,0.0001987546,0.9841189,0.0005403388,0.0001438287,0.009741476],"study_design_scores_gemma":[0.001374976,0.004619788,0.5503776,0.00004907162,0.0005961349,0.005071669,0.0006336719,0.01025708,0.4155062,0.005955059,0.005443297,0.0001154861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867765,0.0004988105,0.00824634,0.000199902,0.00007198887,0.0001902526,0.0001510962,0.00005632319,0.003808673],"genre_scores_gemma":[0.9940414,0.0003072208,0.002750878,0.0003470372,0.00008219863,0.0001551363,0.0002029422,0.0001025693,0.002010529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003985937,"threshold_uncertainty_score":0.01333427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15818487435695,"score_gpt":0.323199429329974,"score_spread":0.1650145549730239,"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."}}