{"id":"W2048145492","doi":"10.1109/embc.2013.6610125","title":"Improving hearing aid fitting using the speech-evoked auditory brainstem response","year":2013,"lang":"en","type":"article","venue":"","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Hearing aid; Auditory brainstem response; Brainstem; SABR volatility model; Computer science; Speech recognition; Audiology; Psychology; Hearing loss; Neuroscience; Medicine","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":[0.001528169,0.0008721997,0.0007265412,0.0008725625,0.0002089004,0.0007664349,0.0004453602,0.0008422904,0.001690341],"category_scores_gemma":[0.004206812,0.0001816068,0.0003808667,0.0003324841,0.0003942017,0.001047699,0.0004703724,0.0005622118,0.0006507111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000263137,"about_ca_system_score_gemma":0.0002425245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009297525,"about_ca_topic_score_gemma":0.002668948,"domain_scores_codex":[0.9994499,0.0001712225,0.00006436761,0.00006186897,0.0002223248,0.0000303022],"domain_scores_gemma":[0.9985579,0.0007894537,0.0002131152,0.00003431894,0.0003555783,0.0000497501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007102637,0.0003677189,0.04009559,0.002425367,0.000171581,0.0008227433,0.0004787015,0.001599662,0.4272793,0.0004449009,0.001348557,0.5242556],"study_design_scores_gemma":[0.00009289126,0.006089747,0.5354194,0.0008127351,0.0004661994,0.009087448,0.00179258,0.01079342,0.4185992,0.003201962,0.01332982,0.0003145505],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7895907,0.03934491,0.150493,0.001532828,0.0006177728,0.0006143329,0.0008272949,0.002076931,0.01490219],"genre_scores_gemma":[0.8863781,0.02979279,0.0787312,0.000754567,0.0002531312,0.0002172536,0.0003036321,0.0001154985,0.003453729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001690341,"threshold_uncertainty_score":0.008081853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04702581579003065,"score_gpt":0.2862109655719035,"score_spread":0.2391851497818728,"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."}}