{"id":"W2884168277","doi":"10.1073/pnas.1801421115","title":"Neural tracking of the musical beat is enhanced by low-frequency sounds","year":2018,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; International Laboratory for Brain, Music and Sound Research","funders":"Australian Research Council","keywords":"Beat (acoustics); Speech recognition; Musical; Acoustics; Computer science; Art; Visual arts; Physics","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":[0.000126048,0.0001334345,0.0001118129,0.0001292851,0.00007685511,0.0002874405,0.0001192868,0.0001824978,0.001689208],"category_scores_gemma":[0.001027629,0.00008389118,0.0001186886,0.00007461647,0.0002413549,0.0002071974,0.0003560509,0.0002661661,0.0001886583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009827074,"about_ca_system_score_gemma":0.00008926971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003285971,"about_ca_topic_score_gemma":0.0006073375,"domain_scores_codex":[0.9999232,0.00001300962,0.00000406465,0.00002145918,0.00002437486,0.00001390194],"domain_scores_gemma":[0.9997951,0.00008104018,0.00004291576,0.00001842256,0.00002832506,0.00003418353],"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":[0.0001231697,0.00002432279,0.001648302,0.00003491722,0.000008028579,0.00004306318,0.00006788144,0.00008212111,0.983816,0.0001166424,0.00004173755,0.0139939],"study_design_scores_gemma":[0.00006561833,0.0007253073,0.6866972,0.00003799454,0.0000694785,0.0005609671,0.0002784589,0.006363077,0.3016571,0.001870056,0.00165467,0.0000200836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918143,0.0001216299,0.005011943,0.00005593642,0.00001595809,0.000008969351,0.00002917616,0.00004029011,0.002901856],"genre_scores_gemma":[0.9976742,0.00009529909,0.001733905,0.00002571698,0.00000703895,0.00000620754,0.00002416748,0.00001008087,0.0004234936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001689208,"threshold_uncertainty_score":0.005650938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06434438079131533,"score_gpt":0.3286549265854989,"score_spread":0.2643105457941836,"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."}}