{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004000514,0.00004960203,0.00005572303,0.0001380192,0.0004301495,0.00005517418,0.0003683947,0.00001494541,0.00005312231],"category_scores_gemma":[0.00008776577,0.00004675814,0.000009907321,0.0007284196,0.0007655107,0.0008829525,0.0005484665,0.0000793416,0.00004875786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005194454,"about_ca_system_score_gemma":0.00004224482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008510472,"about_ca_topic_score_gemma":0.00002478578,"domain_scores_codex":[0.9989018,0.00002818118,0.00005681441,0.0004608289,0.0003188644,0.0002334618],"domain_scores_gemma":[0.9997156,0.00002231246,0.00002384831,0.0001593215,0.00001099153,0.0000679015],"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":[0.000002070463,0.00001156647,0.03839224,0.000001824967,1.438984e-8,0.000004006624,0.0004516649,0.000004623615,0.9579382,0.002730601,0.000003592252,0.0004595887],"study_design_scores_gemma":[0.000234948,0.00007013635,0.9142809,0.000008625967,6.66979e-7,0.000007203871,0.0002480208,0.0004825197,0.08289051,0.001395107,0.0002737445,0.0001076456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917967,7.488184e-7,0.000009991932,0.0000966536,0.0002016214,0.00009856583,0.000001007273,0.00002410167,0.00777057],"genre_scores_gemma":[0.9991222,0.000005531376,0.00001244579,0.0004659898,0.000006440284,3.722078e-7,4.199441e-8,0.000001335034,0.0003856445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8758886,"threshold_uncertainty_score":0.3308406,"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."}}