{"id":"W1978804117","doi":"10.1177/1084713813480856","title":"Nonlinear Frequency Compression","year":2013,"lang":"en","type":"article","venue":"Trends in Amplification","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Fondation Pour l'Audition","keywords":"Audiology; Sound quality; Hearing aid; QUIET; Noise (video); Hearing loss; Hearing impaired; Cutoff; Speech perception; Quality (philosophy); Audiologist; Medicine; Speech recognition; Psychology; Computer science; Perception","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":[0.00009563332,0.00006574328,0.00007061893,0.0001804266,0.00006202156,0.00003844579,0.0001164804,0.00005194566,0.0004484507],"category_scores_gemma":[0.0001563738,0.00005506201,0.00002335018,0.000393286,0.00005177741,0.0002143552,0.00001499616,0.0000989953,0.0004625268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004014087,"about_ca_system_score_gemma":0.000007893757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000194959,"about_ca_topic_score_gemma":0.000003211817,"domain_scores_codex":[0.9991925,0.00007922779,0.0002019978,0.0002510146,0.000134864,0.0001403325],"domain_scores_gemma":[0.999539,0.0001079323,0.00005101826,0.0002376255,0.00002338803,0.00004108694],"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":[0.000001643351,0.00009518048,0.003512095,0.000005383133,1.888995e-7,2.609372e-7,0.0002532299,0.0000264319,0.8757293,0.003042299,0.0002003928,0.1171336],"study_design_scores_gemma":[0.0002559549,0.00004422939,0.9440555,0.00002659232,0.000001208802,0.000001884395,0.00004104803,0.006644784,0.04216783,0.005842826,0.0007919608,0.0001261675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879656,0.00001007173,0.0004987318,0.001157623,0.0001323871,0.0001209747,0.000002559973,0.00007503571,0.01003697],"genre_scores_gemma":[0.9960086,0.000007056602,0.003184881,0.0001178794,0.00003863933,0.0000589598,0.00001252673,0.000008277247,0.0005632223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9405434,"threshold_uncertainty_score":0.5945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06531612389472319,"score_gpt":0.3332942335450959,"score_spread":0.2679781096503727,"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."}}