{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007689459,0.0004754302,0.000305932,0.0006335114,0.0001797184,0.0007548239,0.0005032466,0.0005313334,0.002486706],"category_scores_gemma":[0.003877394,0.0001731866,0.0002498025,0.000272435,0.0003155175,0.000883646,0.0008087946,0.0001853218,0.0008647256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001680234,"about_ca_system_score_gemma":0.0001754867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005033996,"about_ca_topic_score_gemma":0.0004377912,"domain_scores_codex":[0.9992476,0.0001607172,0.00007582251,0.0001138166,0.0003564478,0.00004563123],"domain_scores_gemma":[0.9990126,0.0004221988,0.00009232326,0.00006390009,0.0003681811,0.00004080015],"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":[0.001057514,0.0001766078,0.03951937,0.0005505608,0.0001427866,0.000898576,0.0006473185,0.02250907,0.7180418,0.000850114,0.0005825603,0.2150236],"study_design_scores_gemma":[0.0001658433,0.007003298,0.294244,0.0002210419,0.000419289,0.007331611,0.00230545,0.2196822,0.4534857,0.002437089,0.01246592,0.000238548],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8586059,0.0008762515,0.1336377,0.0001017195,0.00005975353,0.0001535777,0.0003021027,0.0005146604,0.00574827],"genre_scores_gemma":[0.9835632,0.0003673913,0.01407052,0.00004879179,0.00001739428,0.00005016611,0.0001398828,0.00003397839,0.001708628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002486706,"threshold_uncertainty_score":0.008318841,"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."}}