{"id":"W4392984264","doi":"10.32920/25413304","title":"Dynamic Range Across Music Genres and the Perception of Dynamic Compression in Hearing-Impaired Listeners","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dynamic range compression; Dynamic range; Perception; High dynamic range; Compression (physics); Range (aeronautics); Audiology; Speech perception; Wide dynamic range; Speech recognition; Psychology; Computer science; Medicine; Engineering; Telecommunications; Computer vision; Neuroscience; Physics","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":[0.0007372382,0.0003457652,0.0002645749,0.0008533026,0.0002182862,0.0009765802,0.0002140232,0.0005929179,0.003588075],"category_scores_gemma":[0.00648953,0.0001942224,0.0002021254,0.0002331836,0.0006408854,0.0005957326,0.001096321,0.0002820233,0.0004206783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001514564,"about_ca_system_score_gemma":0.0001114688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074931,"about_ca_topic_score_gemma":0.0009684376,"domain_scores_codex":[0.9995589,0.00006686648,0.00003993991,0.00008531694,0.0002102925,0.0000386722],"domain_scores_gemma":[0.9981251,0.001055469,0.0002450747,0.0001134314,0.0002401105,0.0002207045],"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":[0.009167267,0.0004495807,0.0716272,0.0005500819,0.0002068784,0.001009821,0.00769219,0.0009265231,0.8255405,0.0002594085,0.0004194663,0.08215102],"study_design_scores_gemma":[0.0001183687,0.003639089,0.9528919,0.00006543897,0.0001417959,0.001775801,0.006896129,0.001450546,0.03135435,0.0003931524,0.00119931,0.0000740364],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997789,0.000101071,0.0004125438,0.00001827271,0.000007157129,0.00001389452,0.0000304699,0.000008718,0.001618886],"genre_scores_gemma":[0.9982919,0.0001533703,0.0007084007,0.00004419495,0.00001631576,0.00001803556,0.00007701982,0.00001060244,0.0006801642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003588075,"threshold_uncertainty_score":0.0120033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04016216109296713,"score_gpt":0.3304556569556663,"score_spread":0.2902934958626991,"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."}}