{"id":"W3007770218","doi":"10.1007/s10772-020-09688-w","title":"Low-complexity disordered speech quality estimation","year":2020,"lang":"en","type":"article","venue":"International Journal of Speech Technology","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Speech recognition; Quality (philosophy); Estimation; Artificial intelligence","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":[0.0003742287,0.0001498065,0.0002833465,0.0003937859,0.00006488679,0.0001750045,0.002476576,0.0001356441,0.00005842766],"category_scores_gemma":[0.0008634717,0.0001381251,0.0001184637,0.0005914504,0.0001431242,0.0008244732,0.000371155,0.000457958,0.00006602907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000968486,"about_ca_system_score_gemma":0.0001555539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008335094,"about_ca_topic_score_gemma":0.00000589792,"domain_scores_codex":[0.9980585,0.0000392794,0.0007081537,0.0002600418,0.0007167226,0.000217327],"domain_scores_gemma":[0.9981275,0.00005839833,0.0007148446,0.0002227429,0.0007657852,0.0001107739],"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":[0.0000535787,0.0001116044,0.002049382,0.00001812475,0.00007450658,0.0003286507,0.0002263112,0.0001017286,0.03381133,0.01408133,0.0006012202,0.9485422],"study_design_scores_gemma":[0.001408574,0.0002779364,0.002087394,0.00009879944,0.00001075205,0.001124642,0.0001662068,0.005885327,0.7979011,0.1873441,0.003397375,0.0002977869],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3196304,0.0001511932,0.5851815,0.09358549,0.0006784578,0.00006573751,0.000004028248,0.0001955383,0.0005076582],"genre_scores_gemma":[0.6732583,0.00002643279,0.3255761,0.0008802302,0.0002340145,9.978269e-7,0.000001805104,0.000007257375,0.00001484425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9482445,"threshold_uncertainty_score":0.5632581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03829898257176356,"score_gpt":0.3238917484867665,"score_spread":0.2855927659150029,"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."}}