{"id":"W2770136575","doi":"10.1038/s41562-017-0241-z","title":"Modulating musical reward sensitivity up and down with transcranial magnetic stimulation","year":2017,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":158,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Pleasure; Psychology; Neuroimaging; Neuroscience; Arousal; Transcranial magnetic stimulation; Dorsolateral prefrontal cortex; Prefrontal cortex; Cognitive psychology; Reward system; Brain stimulation reward; Functional magnetic resonance imaging; Brain stimulation; Stimulation; Cognition; Dopamine; Nucleus accumbens","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001934791,0.0001731843,0.0001572026,0.00007012641,0.001308525,0.000313147,0.0001747267,0.0001915606,0.00005011861],"category_scores_gemma":[0.0001448635,0.0001446474,0.00004075652,0.0000653578,0.0003644283,0.0005259034,0.00006008912,0.000605455,0.00000569243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002213429,"about_ca_system_score_gemma":0.00001846716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007869387,"about_ca_topic_score_gemma":0.000220966,"domain_scores_codex":[0.9984771,0.00008723378,0.0001335159,0.0006171102,0.0004136302,0.000271384],"domain_scores_gemma":[0.9992757,0.00003922712,0.0001061649,0.0004348064,0.00003953838,0.0001045088],"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":[0.00003156621,0.00004964101,0.01207615,0.000006022683,2.913559e-7,0.00009540312,0.0004395431,0.00001426668,0.9820569,0.0003737218,0.00003588616,0.004820648],"study_design_scores_gemma":[0.0008848874,0.0002556722,0.9868499,0.00002998622,0.00003244124,0.0001236202,0.00002471596,0.0009096756,0.01047696,0.0001382324,0.00005887349,0.0002150574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984427,0.000002540209,0.0001059449,0.0002403774,0.0003759191,0.0002675193,0.00001333849,0.00008069305,0.0004709515],"genre_scores_gemma":[0.998861,0.000002185569,0.0001128383,0.0004350709,0.0002033471,0.000005948455,0.000003011763,0.00001842844,0.0003581438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9747737,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03438303704863473,"score_gpt":0.3128888103384034,"score_spread":0.2785057732897687,"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."}}