{"id":"W2769936162","doi":"10.1097/aud.0000000000000521","title":"Restoring Perceived Loudness for Listeners With Hearing Loss","year":2017,"lang":"en","type":"article","venue":"Ear and Hearing","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Banting and Best Diabetes Centre, University of Toronto; Deutsche Forschungsgemeinschaft; Carl von Ossietzky Universität Oldenburg","keywords":"Loudness; Binaural recording; Hearing loss; Monaural; Narrowband; Audiology; Psychoacoustics; Acoustics; Hearing aid; Sound localization; Hyperacusis; Psychology; Computer science; Perception; Medicine; Telecommunications; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008784956,0.0005059437,0.0003076304,0.0003354496,0.0001714278,0.0003313045,0.0003649604,0.0003034246,0.002557118],"category_scores_gemma":[0.002842592,0.0001195267,0.0001934403,0.0001027223,0.0003981339,0.000372239,0.0007247239,0.0002984415,0.0004525369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850453,"about_ca_system_score_gemma":0.00027156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004322283,"about_ca_topic_score_gemma":0.0005827525,"domain_scores_codex":[0.9997235,0.00005393169,0.0000337199,0.00003909436,0.0001205934,0.00002907192],"domain_scores_gemma":[0.9993789,0.000241631,0.00009705488,0.00008687929,0.0001409651,0.00005447236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003666,0.000695573,0.03190305,0.0005820385,0.0000523248,0.000431755,0.000965144,0.001340251,0.7225336,0.0002220484,0.0004217944,0.2371865],"study_design_scores_gemma":[0.0006320301,0.02119405,0.4879009,0.0001634817,0.0003407401,0.007112954,0.001372133,0.008510035,0.4647405,0.001001256,0.006918207,0.0001136686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897714,0.0003044509,0.008823443,0.00006677612,0.00001556931,0.00007615831,0.00004185579,0.0001693356,0.0007310051],"genre_scores_gemma":[0.9917796,0.0001593191,0.007391572,0.0000477046,0.00001236143,0.00005362795,0.00006209191,0.00001891909,0.0004747287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002557118,"threshold_uncertainty_score":0.008554459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1027888382833895,"score_gpt":0.3366489996786149,"score_spread":0.2338601613952254,"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."}}