{"id":"W1972434284","doi":"10.1097/00003446-200210000-00009","title":"Evaluation of Electroacoustic Test Signals I: Comparison with Amplified Speech","year":2002,"lang":"en","type":"article","venue":"Ear and Hearing","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Hearing aid; Test (biology); Speech recognition; Set (abstract data type); Computer science; SIGNAL (programming language); Noise (video); Test set; Audiology; Acoustics; Artificial intelligence; Medicine; Physics","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":[0.0005138621,0.0000581425,0.0001122621,0.00005452735,0.00009396658,0.00002812871,0.0000354961,0.00002890286,0.00008546162],"category_scores_gemma":[0.0005400587,0.00004616569,0.00001406181,0.0001389577,0.00005704054,0.00006680887,0.00001197408,0.00008979692,0.00001296558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002116799,"about_ca_system_score_gemma":0.00001636313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003967211,"about_ca_topic_score_gemma":0.000004357455,"domain_scores_codex":[0.9990807,0.00007839534,0.0001372074,0.0001744983,0.0003968625,0.0001323997],"domain_scores_gemma":[0.9994843,0.0002645498,0.00004394077,0.00009476737,0.00007335058,0.00003907817],"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":[0.000006156146,0.00009402376,0.01298078,0.00003204837,0.000002388002,6.498562e-7,0.0007377138,0.001115533,0.963019,0.0001232576,0.0000282217,0.02186024],"study_design_scores_gemma":[0.0009314412,0.0007679347,0.3571939,0.0001197457,0.0000759497,0.00002337125,0.0001848934,0.3289067,0.3108449,0.0007025733,0.00005906118,0.0001895471],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995931,0.00009121699,0.0003704799,0.00008977444,0.00002046395,0.0001767184,8.882611e-7,0.00002237153,0.003297038],"genre_scores_gemma":[0.9994205,0.00001087825,0.0004100722,0.00002639144,0.00002389068,0.000005257117,2.319215e-7,0.000007257585,0.00009551812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6521741,"threshold_uncertainty_score":0.1882582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1411070465766933,"score_gpt":0.3344812992333766,"score_spread":0.1933742526566833,"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."}}