{"id":"W160971742","doi":"10.1055/s-0042-1748005","title":"Speech Recognition with In-the-Ear and Behind-the-Ear Dual-Microphone Hearing Instruments","year":2000,"lang":"en","type":"article","venue":"Journal of the American Academy of Audiology","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Microphone; Hearing aid; Acoustics; Active listening; Noise (video); Omnidirectional antenna; Audiology; Computer science; Medicine; Telecommunications; Physics; Psychology; Antenna (radio); Artificial intelligence; Communication; Sound pressure","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":[0.001135058,0.0004497073,0.0005703453,0.000375435,0.0001075126,0.0004409857,0.000328004,0.0003814073,0.002671111],"category_scores_gemma":[0.004543372,0.0001914432,0.0002830094,0.0001901664,0.0002600523,0.0008757935,0.0009119201,0.0002297953,0.0006214503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009113864,"about_ca_system_score_gemma":0.0001355394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000232254,"about_ca_topic_score_gemma":0.0004937845,"domain_scores_codex":[0.9992853,0.000153285,0.00008264967,0.000127926,0.0002785022,0.00007232555],"domain_scores_gemma":[0.9986069,0.0005799037,0.0002183847,0.0001196403,0.0003267888,0.0001485355],"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":[0.01359592,0.001318566,0.1784716,0.0009197329,0.0002790104,0.0009941147,0.001683138,0.0009058369,0.4872538,0.0001645456,0.0005255465,0.3138881],"study_design_scores_gemma":[0.0004776033,0.02078752,0.8294953,0.00007606302,0.000471358,0.008303951,0.002228467,0.004335879,0.1302248,0.0001602417,0.003309963,0.000128905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963573,0.0001840629,0.002649984,0.00001923504,0.00001450295,0.0000221896,0.00007034666,0.00003292603,0.0006494481],"genre_scores_gemma":[0.9928015,0.0001356846,0.006054366,0.00004398032,0.00001329504,0.00002225271,0.000109178,0.000007705117,0.0008121367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002671111,"threshold_uncertainty_score":0.008935809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03074797691255874,"score_gpt":0.2925645407202213,"score_spread":0.2618165638076626,"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."}}