{"id":"W4398137818","doi":"10.1097/aud.0000000000001481","title":"Neural Envelope Processing at Low Frequencies Predicts Speech Understanding of Children With Hearing Loss in Noise and Reverberation","year":2024,"lang":"en","type":"article","venue":"Ear and Hearing","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Macquarie University; University of Wisconsin-Madison; Australian Government; Hearing Health Foundation","keywords":"Audiology; Reverberation; QUIET; Noise (video); Speech perception; Hearing loss; Psychology; Perception; Speech recognition; Sensorineural hearing loss; Acoustics; Computer science; Medicine; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002228532,0.00009490518,0.0001284658,0.0001058378,0.000174028,0.0001334448,0.00003334988,0.0000462663,0.000003526221],"category_scores_gemma":[0.00008353971,0.00007718457,0.00001340337,0.0002217009,0.0001433774,0.0003754508,0.00005729498,0.0001570632,9.742253e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000900674,"about_ca_system_score_gemma":0.00004093651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001643228,"about_ca_topic_score_gemma":0.00004657255,"domain_scores_codex":[0.9991409,0.00003671914,0.000170765,0.0003074047,0.0001668163,0.0001774053],"domain_scores_gemma":[0.9997465,0.00009737004,0.0000266519,0.00006850137,0.00001055278,0.00005043967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003465852,0.00001852604,0.4860162,0.0006577363,0.000004229498,0.00002576083,0.006758504,0.0004132323,0.5004417,0.0005589953,0.000003197101,0.005067269],"study_design_scores_gemma":[0.0003440584,0.0001249341,0.9378273,0.001142309,0.000008650461,0.000159897,0.0002293837,0.01042943,0.04913029,0.0004425211,0.000004788134,0.0001564295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986098,0.0003080516,0.00038764,0.0002152067,0.00004319012,0.0001854139,0.000002042279,0.00004517001,0.0002035087],"genre_scores_gemma":[0.9990582,0.00007566968,0.0007145138,0.00002759025,0.00003433311,0.000003419659,9.894499e-7,0.00001450785,0.00007081264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4518111,"threshold_uncertainty_score":0.3147495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04595482280107352,"score_gpt":0.2712897236511439,"score_spread":0.2253349008500704,"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."}}