{"id":"W2990356585","doi":"10.1126/science.aax0868","title":"Universality and diversity in human song","year":2019,"lang":"en","type":"article","venue":"Science","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":593,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"NIH Office of the Director; Natural Sciences and Engineering Research Council of Canada; Harvard Graduate School of Education; National Institutes of Health; National Science Foundation; Washington University in St. Louis; Harvard Data Science Initiative, Harvard University; Harvard University; Microsoft Research; Fonds de Recherche du Québec-Société et Culture; Agence Nationale de la Recherche","keywords":"Melody; Tonality; Rhythm; Amateur; Psychology; Formality; Consonance and dissonance; Popular music; Musical; Linguistics; History; Literature; Aesthetics; Art; Acoustics","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":[0.00204277,0.0001841052,0.0006449011,0.003681957,0.001153463,0.002989806,0.0005760569,0.0004765713,0.001933469],"category_scores_gemma":[0.01348133,0.0003155064,0.0003216238,0.002786776,0.009198629,0.004072435,0.00273489,0.0006078787,0.000171049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006082727,"about_ca_system_score_gemma":0.0003981104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002447993,"about_ca_topic_score_gemma":0.003042028,"domain_scores_codex":[0.9969245,0.001052377,0.0002645243,0.001095454,0.0004622908,0.0002009133],"domain_scores_gemma":[0.9928783,0.003982321,0.0008536389,0.001369867,0.0005588528,0.0003569944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004755766,0.0001005082,0.4089284,0.001754469,0.0005229328,0.00148724,0.1364586,0.002448418,0.02449528,0.09790689,0.001512722,0.323909],"study_design_scores_gemma":[0.00002470045,0.0001574078,0.8007912,0.0004605032,0.0001140049,0.002475849,0.03379442,0.002745391,0.002220658,0.1356068,0.0214639,0.0001452075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676596,0.004060776,0.0111117,0.0007680838,0.000044689,0.00002531308,0.0003865375,0.00006218907,0.01588112],"genre_scores_gemma":[0.9974502,0.0004831456,0.001506262,0.00006956758,0.0000390174,0.00001520647,0.0001518857,0.0000189387,0.0002657197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003681957,"threshold_uncertainty_score":0.01080334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05956121265139141,"score_gpt":0.2981617883230632,"score_spread":0.2386005756716718,"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."}}