{"id":"W2071687418","doi":"10.1121/1.4805884","title":"Advantage of talker differences and spatial separation for speech-on-speech listening in younger and older adults with good audiograms","year":2013,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Audiogram; Active listening; Audiology; Cognition; Psychology; Separation (statistics); Speech recognition; Mathematics; Computer science; Medicine; Hearing loss; Communication; Statistics","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":[0.0005440507,0.0003997407,0.0004135616,0.0009650762,0.0002281585,0.0004597359,0.0001364478,0.0004103778,0.003758955],"category_scores_gemma":[0.002445866,0.0001745991,0.0002236809,0.000194454,0.0002645961,0.0005450018,0.000445945,0.0002436209,0.0005246816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001244589,"about_ca_system_score_gemma":0.00009780854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001478268,"about_ca_topic_score_gemma":0.002926793,"domain_scores_codex":[0.9997507,0.00002340942,0.00005591963,0.00006106044,0.00007661049,0.0000323604],"domain_scores_gemma":[0.9987759,0.0002640841,0.0004188577,0.00007907531,0.0002171435,0.0002448533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002268309,0.0002983942,0.9151914,0.00008125236,0.00008639952,0.001065199,0.003015841,0.0000954139,0.05133346,0.00008372004,0.0003275668,0.02615316],"study_design_scores_gemma":[0.000008287705,0.0003102802,0.9975726,0.000003787259,0.00001468125,0.0006559517,0.0003570247,0.00005076859,0.0009026504,0.00003043434,0.00008876647,0.000004803748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993731,0.00007018817,0.00007431329,0.00001025472,0.000003064247,0.000004202228,0.00003863552,0.000004474166,0.0004216811],"genre_scores_gemma":[0.9992446,0.00003918919,0.0001276786,0.00002142453,0.000006036223,0.000006452698,0.00007463944,0.000002363929,0.000477658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003758955,"threshold_uncertainty_score":0.01257497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104995854227623,"score_gpt":0.2641066622407438,"score_spread":0.2536070768179814,"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."}}