{"id":"W2994703908","doi":"","title":"Hearing Protection Performance Evaluation of Active Noise Reduction Headsets Under High Intensity Noise Levels","year":2019,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Headset; Noise (video); Sound pressure; Crew; Hearing loss; Noise reduction; QUIET; Computer science; Acoustics; Ambient noise level; Intensity (physics); Sound intensity; Audiology; Telecommunications; Engineering; Medicine; Physics; Aeronautics; Sound (geography)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006044697,0.0006255062,0.0003149606,0.0005782326,0.0002034066,0.0003355351,0.0007520145,0.0005512008,0.001912903],"category_scores_gemma":[0.001011936,0.0001772095,0.0004342857,0.0002363816,0.0003113502,0.0004696684,0.0005084094,0.0002426683,0.0005048845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001768792,"about_ca_system_score_gemma":0.000176187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035465,"about_ca_topic_score_gemma":0.001179894,"domain_scores_codex":[0.9995278,0.00006409245,0.0000367612,0.00006828809,0.0002370445,0.00006595263],"domain_scores_gemma":[0.9992755,0.0001524519,0.0001109446,0.00006381324,0.000322423,0.000074815],"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":[0.001409928,0.000166641,0.00727892,0.0003129517,0.00006224021,0.0003643243,0.0004051248,0.003455586,0.9612974,0.00009865914,0.0002650031,0.02488314],"study_design_scores_gemma":[0.00005930501,0.02246459,0.0498989,0.00006240555,0.0002594049,0.0008465835,0.001172197,0.005968718,0.9157641,0.0001076793,0.003305814,0.00009035202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996708,0.0001963152,0.002549917,0.00002024464,0.00002769637,0.00002927241,0.00007868878,0.00004713551,0.0003426316],"genre_scores_gemma":[0.9947813,0.000284015,0.001882873,0.00004838019,0.000009793748,0.00003171057,0.0001962622,0.00001016109,0.002755396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001912903,"threshold_uncertainty_score":0.006399274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09615640954370762,"score_gpt":0.3577285445057786,"score_spread":0.2615721349620709,"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."}}