{"id":"W4406084333","doi":"10.1002/hbm.70045","title":"Human Auditory–Motor Networks Show Frequency‐Specific Phase‐Based Coupling in Resting‐State <scp>MEG</scp>","year":2025,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music; Université Laval; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Fondation Pour l'Audition; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Magnetoencephalography; Auditory cortex; Motor cortex; Psychology; Neuroscience; Motor system; Audiology; Electroencephalography; Medicine","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001037585,0.0003707419,0.0003697543,0.0008043362,0.001392698,0.0003805942,0.0007733201,0.0001451626,0.00005496255],"category_scores_gemma":[0.0009690262,0.0004182899,0.0001318442,0.001422879,0.0004285555,0.0004434241,0.0001545793,0.0007315321,0.00003543654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002521391,"about_ca_system_score_gemma":0.0001130725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004028242,"about_ca_topic_score_gemma":0.00006779288,"domain_scores_codex":[0.9963918,0.0002140186,0.0006933899,0.001254113,0.000479835,0.0009668295],"domain_scores_gemma":[0.9981445,0.0007383269,0.0002593104,0.0006570056,0.00005588752,0.0001449349],"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":[0.000003242229,0.000125754,0.000805488,0.00004163168,0.000001401073,0.0000970496,0.0003833449,0.004883539,0.9831699,0.001578088,0.008585899,0.0003246977],"study_design_scores_gemma":[0.01281535,0.001005021,0.5257636,0.003944024,0.00004048315,0.00003198082,0.001669624,0.296088,0.03943657,0.01709095,0.1003079,0.001806451],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817997,0.00003014044,0.009677798,0.0002978657,0.001373393,0.0006531568,0.000008960191,0.0003664813,0.005792527],"genre_scores_gemma":[0.9920383,0.00001147393,0.0001322329,0.00413125,0.0005440022,0.00008923209,0.00001139433,0.00004201842,0.003000083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9437333,"threshold_uncertainty_score":0.9999074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06889806649003442,"score_gpt":0.3196045753647525,"score_spread":0.250706508874718,"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."}}