{"id":"W3156908170","doi":"10.1177/2331216521999139","title":"Detection, Speech Recognition, Loudness, and Preference Outcomes With a Direct Drive Hearing Aid: Effects of Bandwidth","year":2021,"lang":"en","type":"article","venue":"Trends in Hearing","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Loudness; Audiology; Hearing aid; Bandwidth (computing); Sensorineural hearing loss; Hearing loss; Speech perception; Intelligibility (philosophy); Psychology; Perception; Speech recognition; Computer science; Medicine; Telecommunications","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":[0.0001914831,0.0001445855,0.0002895354,0.00022755,0.0001099559,0.0000470284,0.00006160068,0.00006910414,0.00001903039],"category_scores_gemma":[0.0007489837,0.0001213806,0.00003887627,0.0007016929,0.0001048974,0.0002169478,0.0000716226,0.0002060707,0.000002925119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004767613,"about_ca_system_score_gemma":0.00003651374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003261887,"about_ca_topic_score_gemma":0.0002638034,"domain_scores_codex":[0.998639,0.0001594666,0.0002631177,0.0004681471,0.0002269548,0.0002433475],"domain_scores_gemma":[0.9989071,0.0006730849,0.00006824721,0.0002232583,0.00006132772,0.00006693962],"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":[0.00006102765,0.0001739845,0.309912,0.0004548991,0.00001255173,0.00007943578,0.001786278,0.00008638711,0.3657394,0.0000561874,0.000002789646,0.321635],"study_design_scores_gemma":[0.0005735354,0.0001181452,0.5607693,0.0002935916,0.00001001198,0.0000295494,0.0000477311,0.000187224,0.437566,0.0002691627,0.00001762717,0.0001182256],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979087,0.00006146656,0.0001250636,0.00009609239,0.000153807,0.0001144086,0.000002359756,0.00005725471,0.001480826],"genre_scores_gemma":[0.9979973,0.0000394216,0.001600278,0.00004166128,0.00002023695,0.00002775112,0.000001548695,0.00001774493,0.0002540883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3215168,"threshold_uncertainty_score":0.4949758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05711751875586374,"score_gpt":0.2885971624295355,"score_spread":0.2314796436736717,"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."}}