{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001783249,0.0004681806,0.0004872536,0.0002687574,0.0001320607,0.0003218803,0.0002301723,0.0003830854,0.001148785],"category_scores_gemma":[0.004868956,0.0001909397,0.0005063043,0.00013686,0.0003818843,0.000512148,0.0004350122,0.0003644068,0.0002033787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173053,"about_ca_system_score_gemma":0.0001850051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006310028,"about_ca_topic_score_gemma":0.0009330142,"domain_scores_codex":[0.9990509,0.0002971219,0.000126221,0.000121759,0.0003115123,0.00009239823],"domain_scores_gemma":[0.9973959,0.001276878,0.0005543857,0.0001856144,0.0002880835,0.0002991618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.1808082,0.01934702,0.1830477,0.00155887,0.0009152963,0.0005718297,0.003877338,0.001440579,0.4012766,0.00008730948,0.0002428359,0.2068264],"study_design_scores_gemma":[0.001144464,0.2227438,0.7280954,0.00003050294,0.0006677177,0.0005668224,0.0008069128,0.0009040585,0.04447018,0.00009694535,0.0004093449,0.00006383518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997228,0.00006895899,0.00006813446,0.000003229225,0.00000180017,0.00001441372,0.00001978142,0.000001856464,0.00009907997],"genre_scores_gemma":[0.9994432,0.00004571492,0.0002452446,0.000007610191,0.000003516382,0.00002465902,0.00003798389,0.000001498275,0.0001905217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001783249,"threshold_uncertainty_score":0.009430826,"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."}}