{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002971018,0.000454526,0.0002314056,0.0007995047,0.0002602549,0.0005502619,0.0005207567,0.0004826033,0.01002201],"category_scores_gemma":[0.002000363,0.0001361279,0.0002591479,0.0004918421,0.0004474318,0.0007118467,0.000661156,0.000387785,0.00241277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003896906,"about_ca_system_score_gemma":0.0002871387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127694,"about_ca_topic_score_gemma":0.001706039,"domain_scores_codex":[0.9997029,0.00002441564,0.0000210541,0.00004466762,0.0001857764,0.00002116107],"domain_scores_gemma":[0.9993399,0.0002721738,0.00008336588,0.00007806608,0.0002038979,0.00002253352],"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":[0.0006760607,0.0001453581,0.00337287,0.0005492184,0.00003105522,0.0004009657,0.0002067561,0.002456551,0.359064,0.002853599,0.002580404,0.6276632],"study_design_scores_gemma":[0.0003777793,0.003814047,0.05704432,0.0005564272,0.0003487256,0.0145026,0.0005159777,0.06862012,0.7125897,0.009989272,0.1313659,0.0002751172],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4733042,0.01057305,0.4492906,0.001008601,0.0005985536,0.0008556935,0.0004957265,0.00219007,0.06168354],"genre_scores_gemma":[0.8096116,0.004648702,0.154498,0.000580841,0.0002389281,0.0003452865,0.0006838982,0.0002244248,0.02916824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01002201,"threshold_uncertainty_score":0.03352696,"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."}}