{"id":"W4220755228","doi":"10.1523/jneurosci.0630-21.2022","title":"Cross-Frequency Brain Network Dynamics Support Pitch Change Detection","year":2022,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; Mila - Quebec Artificial Intelligence Institute; Université Laval; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; McGill University","keywords":"Auditory cortex; Neurophysiology; Stimulus (psychology); Perception; Brain activity and meditation; Auditory perception; Human brain; Auditory system; Electroencephalography","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":[0.0001512424,0.0002184613,0.0001362521,0.0003956321,0.0001067661,0.0002566387,0.000173926,0.0001912135,0.001103571],"category_scores_gemma":[0.0009373748,0.0001172673,0.0001180675,0.0001718966,0.000194265,0.0003112241,0.000299332,0.0002007257,0.00009333451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001994513,"about_ca_system_score_gemma":0.0001337906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008583774,"about_ca_topic_score_gemma":0.0008734779,"domain_scores_codex":[0.9998959,0.0000159135,0.000005450643,0.0000437178,0.00002154086,0.0000173756],"domain_scores_gemma":[0.999661,0.00008927489,0.0001182356,0.0000321007,0.00004481863,0.00005465051],"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":[0.0003160991,0.00005421828,0.0285321,0.00004612306,0.00004680263,0.0003275167,0.00020191,0.00243478,0.9456333,0.001180443,0.00009745961,0.02112925],"study_design_scores_gemma":[0.00001897011,0.0002507736,0.8608901,0.00001072177,0.00008352661,0.0009814168,0.0001724982,0.04156515,0.09137956,0.003939377,0.0006881867,0.00001969363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841673,0.0001331234,0.01429529,0.00004324572,0.000005884237,0.00001595931,0.0001315753,0.00005804172,0.001149689],"genre_scores_gemma":[0.9984107,0.00003126648,0.001309908,0.000004261325,0.000003861188,0.00000724544,0.00005167287,0.000004819724,0.0001762199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001103571,"threshold_uncertainty_score":0.003691852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06475524402487846,"score_gpt":0.3208655442714286,"score_spread":0.2561103002465501,"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."}}