{"id":"W4411264057","doi":"10.1016/j.jvoice.2025.02.046","title":"Does Vibrato Define Genre or Vice Versa? A Novel Parametric Approach to Vocal Vibrato Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Voice","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre for Interdisciplinary Research in Music Media and Technology; McGill University","keywords":"Vibrato; Versa; Parametric statistics; Speech recognition; Mathematics; Computer science; Singing; Acoustics; Statistics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005229012,0.0002396365,0.0008535873,0.001850659,0.00009365918,0.00007455835,0.000314402,0.0001636616,0.0001005065],"category_scores_gemma":[0.0009411262,0.0001323831,0.000485924,0.006467543,0.0000407062,0.0002265092,0.0000771266,0.0004900065,0.00004387633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339025,"about_ca_system_score_gemma":0.0004924181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008376449,"about_ca_topic_score_gemma":0.0001283164,"domain_scores_codex":[0.997918,0.000045881,0.0007540016,0.0002983719,0.000628705,0.0003550195],"domain_scores_gemma":[0.9982534,0.0002695667,0.0002866302,0.0003874614,0.0004496686,0.0003532742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03795107,0.02764773,0.4699835,0.004168678,0.06560571,0.002236311,0.011364,0.02442765,0.08850227,0.003422751,0.1949053,0.06978494],"study_design_scores_gemma":[0.03779962,0.006673893,0.5628448,0.001279632,0.03773523,0.001411499,0.02218637,0.02397628,0.01933733,0.0007966068,0.2833542,0.002604575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7807931,0.001186331,0.1948302,0.01163692,0.0005433367,0.000509753,0.00002619276,0.00005214075,0.01042206],"genre_scores_gemma":[0.9306644,0.0001769844,0.05508872,0.009548574,0.0003532328,0.00001145755,0.00001277706,0.00003347693,0.004110373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1498713,"threshold_uncertainty_score":0.5398426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979262741168693,"score_gpt":0.3039847056744287,"score_spread":0.2841920782627418,"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."}}