{"id":"W2173413352","doi":"10.1109/waspaa.2015.7336897","title":"On nonintrusive speech quality estimation for hearing aids","year":2015,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Quality (philosophy); Speech recognition; Hearing aid; Set (abstract data type); Speech perception; Perception; Audiology; Psychology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004853252,0.00006858235,0.00009101294,0.00004812968,0.00007374091,0.0001729989,0.0002567774,0.00003028294,0.000005294969],"category_scores_gemma":[0.0003296657,0.00005736931,0.00002952533,0.000148734,0.00001149319,0.0004087496,0.00006656459,0.00004693805,0.00007109061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005099122,"about_ca_system_score_gemma":0.00008415465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002655333,"about_ca_topic_score_gemma":0.000004929002,"domain_scores_codex":[0.999274,0.00001793831,0.0001313737,0.0002156509,0.0001958559,0.0001651719],"domain_scores_gemma":[0.9994131,0.0001053737,0.00005193494,0.0002213604,0.0001192013,0.00008896929],"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":[0.00002762143,0.00006404494,0.0003422204,0.00002773598,0.000008456928,0.000003379871,0.0006487953,0.001628202,0.001617089,0.1341576,0.003448683,0.8580262],"study_design_scores_gemma":[0.00111461,0.000440067,0.0005965146,0.00004184741,0.000003650877,0.00001409459,0.0001013149,0.1518153,0.6035843,0.2410127,0.000977636,0.0002978947],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06593079,0.00001025253,0.9224799,0.0007795821,0.0002030629,0.0001045896,4.219359e-7,0.0001528081,0.01033853],"genre_scores_gemma":[0.4075479,1.312229e-7,0.5913981,0.0005844939,0.00004044931,0.000006394026,0.000001175423,0.000003132416,0.0004182382],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8577283,"threshold_uncertainty_score":0.2339453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08535741779230457,"score_gpt":0.357161931434451,"score_spread":0.2718045136421464,"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."}}