{"id":"W2094562799","doi":"10.1371/journal.pbio.1001372","title":"Musical Melody and Speech Intonation: Singing a Different Tune","year":2012,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":218,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; Centre for Research on Brain Language and Music; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Singing; Neurocomputational speech processing; Perception; Pitch (Music); Speech production; Motor theory of speech perception; Speech recognition; Biology; Timbre; Auditory system; Computer science; Speech perception; Communication; Neuroscience; Musical; Psychology; 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":[0.00008557476,0.00008837833,0.0001087129,0.00007212209,0.0001205758,0.00001973182,0.0000978243,0.0000549612,0.00009222948],"category_scores_gemma":[0.0003161341,0.00006674754,0.00001943353,0.0001155577,0.0002075236,0.0001580499,0.0001044462,0.0001045019,0.00005418257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001860942,"about_ca_system_score_gemma":0.000006840901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003683654,"about_ca_topic_score_gemma":0.000002381993,"domain_scores_codex":[0.9991437,0.00008945852,0.0001037816,0.0002782034,0.00008896575,0.0002958573],"domain_scores_gemma":[0.9996343,0.0001125051,0.00003321841,0.0001179886,0.000009390545,0.00009260281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004624085,0.00009367405,0.002342955,0.000003280688,5.243338e-7,0.000001580509,0.0002887246,4.498179e-8,0.9843658,0.002910292,0.00004232568,0.009946144],"study_design_scores_gemma":[0.0005825215,0.0003353654,0.1509549,0.00002252682,0.00002571148,0.0002609708,0.0001044673,0.001008093,0.8306088,0.003596582,0.01207933,0.0004207468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972024,0.00001243567,0.000160824,0.0006805803,0.0004995802,0.00009532442,0.000002794355,0.00005810584,0.001287939],"genre_scores_gemma":[0.997697,0.00003619007,0.0000761236,0.001818141,0.0002593419,0.000009681116,0.000001815964,0.000005767083,0.00009597262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1537571,"threshold_uncertainty_score":0.2721886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06894318273397584,"score_gpt":0.3012631133746037,"score_spread":0.2323199306406278,"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."}}