{"id":"W7055621985","doi":"","title":"Creaky Voice in Canadian English: An Acoustics-Focused Method","year":2023,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vowel; Cepstrum; Perception; American English; Phonation; Glottis; Breathy voice; Formant; Mel-frequency cepstrum","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001349478,0.001140956,0.0006173018,0.004237696,0.002849123,0.001654965,0.001300043,0.0007363581,0.009485834],"category_scores_gemma":[0.002764567,0.0003400033,0.0007399209,0.003732593,0.001038294,0.0003300593,0.001296215,0.0006384252,0.001466051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008193108,"about_ca_system_score_gemma":0.01540123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8883364,"about_ca_topic_score_gemma":0.948771,"domain_scores_codex":[0.9983485,0.000119196,0.00008393892,0.0003440446,0.0007840375,0.0003203504],"domain_scores_gemma":[0.9977019,0.0001359881,0.00008571167,0.0001127166,0.001819108,0.0001444526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002070265,0.0009886875,0.3128377,0.00391377,0.0003377872,0.007462403,0.06267346,0.002672277,0.112033,0.007219275,0.02405282,0.4637385],"study_design_scores_gemma":[0.0000723775,0.0003308406,0.8944559,0.0003853416,0.0002515372,0.00119458,0.03015608,0.003324598,0.008272983,0.0005213862,0.06077243,0.0002619107],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9091346,0.001774976,0.01982301,0.0005214811,0.0001854615,0.00736335,0.01854391,0.0002741719,0.04237898],"genre_scores_gemma":[0.9099436,0.001810531,0.04382137,0.0006555308,0.0001036707,0.005589578,0.01080837,0.0002305893,0.02703678],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1116636,"threshold_uncertainty_score":0.2246425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859560653230671,"score_gpt":0.2461197961828793,"score_spread":0.2275241896505726,"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."}}