{"id":"W1975843493","doi":"10.1016/j.neulet.2012.07.009","title":"Characterizing emotional response to music in the prefrontal cortex using near infrared spectroscopy","year":2012,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto; Holland Bloorview Kids Rehabilitation Hospital","funders":"","keywords":"Prefrontal cortex; Arousal; Valence (chemistry); Psychology; Audiology; Cognition; Functional near-infrared spectroscopy; Neuroscience; Chemistry; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007353792,0.0002061653,0.0001519396,0.0001857497,0.0003992388,0.0003915493,0.0009273886,0.0000359293,0.00002455595],"category_scores_gemma":[0.0004876013,0.0001609358,0.00006102058,0.0008270208,0.0003144815,0.0009607311,0.0001920609,0.0003318176,0.00005270846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009415697,"about_ca_system_score_gemma":0.00004862255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001329505,"about_ca_topic_score_gemma":0.000001594471,"domain_scores_codex":[0.9972005,0.0005487252,0.0002672828,0.0005573022,0.0006237188,0.000802481],"domain_scores_gemma":[0.9990324,0.000334615,0.00009642621,0.0003820252,0.000009040738,0.0001455378],"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":[0.00008909452,0.00007081324,0.003337964,0.000002973619,2.082724e-7,0.00003405457,0.003304364,0.0001717328,0.9924267,0.0000219555,0.0004674853,0.00007263345],"study_design_scores_gemma":[0.0002810801,0.0001751068,0.6349356,0.00004470051,0.000003309696,0.0002886982,0.0001147265,0.004637236,0.3511907,0.0000112389,0.008010568,0.0003070542],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902133,0.000003277255,0.001177533,0.006331526,0.001709003,0.0003452447,0.00001142398,0.00005813066,0.0001505655],"genre_scores_gemma":[0.9049832,5.645762e-7,0.001006031,0.09374118,0.0002080698,0.00001174298,4.387081e-7,0.00001573578,0.00003305914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.641236,"threshold_uncertainty_score":0.6562769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05000501441167865,"score_gpt":0.2899842789773623,"score_spread":0.2399792645656836,"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."}}