{"id":"W4408562967","doi":"10.1111/nyas.15315","title":"Cortical and behavioral tracking of rhythm in music: Effects of pitch predictability, enjoyment, and expertise","year":2025,"lang":"en","type":"article","venue":"Annals of the New York Academy of Sciences","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"Medical Research Council; Deutsche Forschungsgemeinschaft; Royal Society of Edinburgh","keywords":"Predictability; Rhythm; Beat (acoustics); Psychology; Active listening; Stimulus (psychology); Speech recognition; Electroencephalography; Audiology; Communication; Cognitive psychology; Computer science; Neuroscience; Acoustics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002359148,0.0002097775,0.0001638761,0.0001943267,0.00009222692,0.0003767842,0.00008029563,0.0001478538,0.001538383],"category_scores_gemma":[0.00291412,0.0001191793,0.0001182455,0.00009334947,0.0002529426,0.0002443511,0.0004252306,0.0001981513,0.0001076879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000102028,"about_ca_system_score_gemma":0.0000882775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005750607,"about_ca_topic_score_gemma":0.001124214,"domain_scores_codex":[0.9998523,0.00002767707,0.00001061583,0.00004821514,0.00003797023,0.00002312947],"domain_scores_gemma":[0.9991886,0.0004283076,0.0001651851,0.00006342959,0.00004669348,0.0001077976],"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":[0.001671173,0.0001197211,0.04022875,0.0001035435,0.00005469739,0.0001445144,0.0005645629,0.0003862199,0.9381109,0.0001045003,0.00006022776,0.01845114],"study_design_scores_gemma":[0.00001730752,0.0004165181,0.9723404,0.000004448475,0.00002698946,0.0001337313,0.0001455286,0.001283167,0.02536474,0.000164756,0.00009315612,0.000009109232],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985707,0.00003299411,0.0007190002,0.00001084651,0.000002287702,0.000006809623,0.00003152797,0.000005841696,0.0006199316],"genre_scores_gemma":[0.9993021,0.00002109722,0.000451835,0.000008595092,0.000003088861,0.000008971479,0.0000361673,0.000004437369,0.0001635348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001538383,"threshold_uncertainty_score":0.005146444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1413243003174796,"score_gpt":0.3905082884883078,"score_spread":0.2491839881708282,"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."}}