{"id":"W2802811792","doi":"10.4081/audiores.2018.204","title":"Electroacoustic Assessment of Wireless Remote Microphone Systems","year":2018,"lang":"en","type":"article","venue":"Audiology Research","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reverberation; Intelligibility (philosophy); Microphone; Computer science; Wireless; Acoustics; Active listening; Speech recognition; Torso; Loudspeaker; Telecommunications; Physics; Psychology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001899767,0.0000704565,0.0002131529,0.0002078204,0.0002318096,0.00001814261,0.0002707272,0.0001160929,0.00003765928],"category_scores_gemma":[0.001044994,0.00005630883,0.00003222125,0.0005386379,0.001186253,0.00003609861,0.0001079144,0.0003607993,0.0001211682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008740065,"about_ca_system_score_gemma":0.0002245399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000275122,"about_ca_topic_score_gemma":0.000004151606,"domain_scores_codex":[0.9974164,0.001133718,0.0002410755,0.0003674352,0.0003531069,0.0004883051],"domain_scores_gemma":[0.9979579,0.0012508,0.00005479513,0.0003478178,0.0003216177,0.0000670778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002397149,0.00004023324,0.001598513,0.00006026855,0.000004167712,0.000006559596,0.0001237192,0.00001808164,0.9944233,0.001793236,0.0005524928,0.001355411],"study_design_scores_gemma":[0.0008268903,0.004210364,0.2177752,0.0001554419,0.000009120669,0.0001357638,0.0002789002,0.03417923,0.7382769,0.002710652,0.001183589,0.000257979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925634,0.00004008112,0.0027127,0.0003440396,0.0003269656,0.000294846,0.000004131613,0.00002490789,0.003688962],"genre_scores_gemma":[0.9982709,0.000059977,0.0004656264,0.00003380355,0.0001797906,0.00001126352,9.489617e-7,0.00001209724,0.0009656491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2561464,"threshold_uncertainty_score":0.43708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145054838607457,"score_gpt":0.4465150257123518,"score_spread":0.3320095418516061,"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."}}