{"id":"W3141277936","doi":"10.1523/jneurosci.0727-20.2020","title":"Unraveling the Temporal Dynamics of Reward Signals in Music-Induced Pleasure with TMS","year":2021,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Interdisciplinary Research in Music Media and Technology; International Laboratory for Brain, Music and Sound Research; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Health Canada; Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona; Government of Canada; McGill University; Canadian Institute for Advanced Research","keywords":"Psychology; Pleasure; Neuroscience; Brain activity and meditation; Neuroimaging; Functional magnetic resonance imaging; Cognitive psychology; Feeling; Transcranial magnetic stimulation; Stimulation; Electroencephalography; Social psychology","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":[0.0001668814,0.0001298477,0.0001247982,0.0001394075,0.00008175529,0.0001285153,0.0001451813,0.0001250727,0.0007698247],"category_scores_gemma":[0.0004046815,0.00009544622,0.0001328067,0.00008294759,0.0002955319,0.0002019491,0.0001573917,0.0002622861,0.00005569154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481215,"about_ca_system_score_gemma":0.0001496775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005193385,"about_ca_topic_score_gemma":0.001491259,"domain_scores_codex":[0.9999672,0.00000651109,0.000002151036,0.00000756176,0.000008690868,0.000007833587],"domain_scores_gemma":[0.9999247,0.00003032322,0.00002163596,0.000005558551,0.000008254964,0.000009474767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003592519,0.00002493714,0.0016497,0.00007638535,0.00001230097,0.0001133259,0.00007852514,0.0002207962,0.9845824,0.0003037004,0.00003273268,0.01254594],"study_design_scores_gemma":[0.0001350281,0.00164932,0.4229449,0.00008805058,0.0001760361,0.001925193,0.000448164,0.02585083,0.5393477,0.00483262,0.002564002,0.00003803948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745335,0.000952604,0.02301684,0.0001704449,0.00002226222,0.00003421459,0.00006399135,0.00004347589,0.001162527],"genre_scores_gemma":[0.9940124,0.0002859035,0.005329607,0.00003121821,0.00002059658,0.00002475673,0.00002610832,0.0000088828,0.0002604276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007698247,"threshold_uncertainty_score":0.002575338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08435927894493542,"score_gpt":0.2971765622184246,"score_spread":0.2128172832734892,"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."}}