{"id":"W2954869128","doi":"10.1017/9781108696555","title":"Voice Quality: The Laryngeal Articulator Model","year":2019,"lang":"en","type":"book","venue":"","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Agence Nationale de la Recherche","keywords":"Articulator; Vocal tract; Phonation; Larynx; Speech recognition; Quality (philosophy); Glottis; Articulatory phonetics; Speech production; Computer science; Voice analysis; Psychology; Audiology; Linguistics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006619197,0.0002433177,0.000383004,0.00007714421,0.00008682846,0.00003722936,0.0006786583,0.0006787233,0.004828555],"category_scores_gemma":[0.00001792358,0.0001548656,0.0001806791,0.00004959482,0.0002121849,0.00001818796,0.0002317011,0.001073324,0.02230788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000592384,"about_ca_system_score_gemma":0.0004184488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001557993,"about_ca_topic_score_gemma":0.0001231187,"domain_scores_codex":[0.9981869,0.0001988776,0.0003233684,0.0004779696,0.0003214288,0.0004914168],"domain_scores_gemma":[0.9978784,0.0004586104,0.0001069881,0.00136695,0.00009225581,0.0000968026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006363817,0.00005752975,0.00004215027,0.00003079783,0.0003080473,0.00001144846,0.001711623,0.00003555417,0.00005651212,0.1664077,0.8305815,0.000693548],"study_design_scores_gemma":[0.0008819884,0.0001652432,0.003283189,0.00003285423,0.0001058265,0.00002963397,0.0001324848,0.003353862,0.00001917555,0.09720824,0.8941828,0.0006046961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001839719,0.0007991039,0.0002436916,0.001216169,0.0008583864,0.0004765675,0.00008738929,0.00005801431,0.9944209],"genre_scores_gemma":[0.008138702,0.00003564782,0.0000430557,0.001999979,0.0003106156,0.00004613419,0.00006360949,0.00005577262,0.9893065],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06919944,"threshold_uncertainty_score":0.9960812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019721148534362,"score_gpt":0.4044787019747206,"score_spread":0.3025065871212845,"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."}}