{"id":"W2991929800","doi":"10.1109/tnsre.2019.2957230","title":"Perceptual and Objective Assessment of Envelope Enhancement for Children With Auditory Processing Disorder","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intelligibility (philosophy); Speech recognition; Perception; Speech perception; Computer science; Speech enhancement; Speech processing; Estimator; Background noise; Audiology; Noise reduction; Mathematics; Psychology; Artificial intelligence; Statistics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001460162,0.0006833067,0.0004307749,0.0005512389,0.0001303684,0.0004547676,0.0002191272,0.0004023899,0.0007761642],"category_scores_gemma":[0.007796876,0.0001510408,0.0003270831,0.0002366197,0.0003696823,0.0005558992,0.0006231608,0.0002591894,0.0002424436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001513802,"about_ca_system_score_gemma":0.0002200962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009115956,"about_ca_topic_score_gemma":0.001966004,"domain_scores_codex":[0.9990263,0.0002791466,0.0001097238,0.0001580224,0.0003663435,0.00006048568],"domain_scores_gemma":[0.9972946,0.001430992,0.000530664,0.0002101688,0.0003907467,0.0001427324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001935563,0.0008186253,0.694417,0.0005349855,0.0002334123,0.0008027029,0.002411565,0.0106585,0.1366581,0.0002260193,0.0003589511,0.1509445],"study_design_scores_gemma":[0.00004349253,0.005127029,0.930194,0.00004884334,0.0001669395,0.00306798,0.00194959,0.01923447,0.03901913,0.0002333149,0.0008198483,0.00009551577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951208,0.0001143178,0.004222262,0.00001610112,0.000003267524,0.00002174226,0.0001333173,0.00002755808,0.0003405842],"genre_scores_gemma":[0.991298,0.0001545634,0.008010869,0.00001726798,0.000004704494,0.00002316081,0.0001886319,0.00001217683,0.0002906673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001460162,"threshold_uncertainty_score":0.007722199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007900245829994233,"score_gpt":0.2450888935638725,"score_spread":0.2371886477338783,"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."}}