{"id":"W3012109553","doi":"10.1080/14992027.2019.1708983","title":"Evaluation of word recognition and word recall with bone conduction devices: do directional microphones free up cognitive resources?","year":2020,"lang":"en","type":"article","venue":"International Journal of Audiology","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Recall; Active listening; Audiology; Word recognition; Speech recognition; Microphone; Cognition; Sentence; Speech perception; Computer science; Bone conduction; Psychology; Cognitive psychology; Medicine; Communication; Perception; Artificial intelligence; Reading (process)","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":[0.0008949027,0.000100826,0.0002193967,0.0001981537,0.00005170243,0.00003150176,0.0001453469,0.00008021971,0.000128388],"category_scores_gemma":[0.002703473,0.00007983894,0.00005944622,0.0001655509,0.0002434143,0.0002700522,0.0000449451,0.0002139545,0.000007392627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006546667,"about_ca_system_score_gemma":0.0001248233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000214321,"about_ca_topic_score_gemma":0.000008583904,"domain_scores_codex":[0.9980649,0.0004293511,0.0004730753,0.0002243599,0.0007095578,0.00009873419],"domain_scores_gemma":[0.9970326,0.0005349533,0.0006532661,0.00005127501,0.001654427,0.00007345502],"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":[0.003151145,0.0001526155,0.007490934,0.00004011155,0.0002055332,0.00003077278,0.004354771,0.0003491242,0.7270561,0.00004294192,0.0002746375,0.2568513],"study_design_scores_gemma":[0.0169303,0.004221568,0.6518893,0.002187605,0.0008932055,0.003986673,0.004624068,0.001708356,0.2888485,0.02217958,0.001805861,0.0007249698],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954123,0.0002868416,0.0006148867,0.002560135,0.0007594618,0.0001483141,0.00003389867,0.000009669629,0.0001744151],"genre_scores_gemma":[0.9983086,0.0001695781,0.0007856636,0.0003331138,0.000365657,0.00000695306,0.000006437043,0.00000985394,0.00001412863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6443984,"threshold_uncertainty_score":0.3255738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006804709559973,"score_gpt":0.3225705292231038,"score_spread":0.2218900582671065,"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."}}