{"id":"W2126676256","doi":"10.1121/1.4800007","title":"Use of passive hearing protectors and adaptive noise reduction for field recording of otoacoustic emissions in industrial noise","year":2013,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Noise Effects and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"","keywords":"Noise (video); Acoustics; Noise reduction; Microphone; Noise measurement; Noise floor; Background noise; Computer science; Physics; Sound pressure; Artificial intelligence","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":[0.0006930777,0.0001993752,0.0005004299,0.0003541438,0.0001662595,0.0000130208,0.0001227457,0.0002828403,0.00002291482],"category_scores_gemma":[0.005899972,0.0001775141,0.00005869882,0.0003231132,0.00007373218,0.000239878,0.0001569306,0.0005077462,8.123371e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009648787,"about_ca_system_score_gemma":0.00008510896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069354,"about_ca_topic_score_gemma":0.000002738785,"domain_scores_codex":[0.9981729,0.00003149153,0.0008514019,0.0003154801,0.0002591553,0.000369616],"domain_scores_gemma":[0.9967519,0.001160245,0.001027089,0.00009632503,0.0008518835,0.0001125434],"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":[0.001090434,0.0002760591,0.01153703,0.00375233,0.00007182021,4.197503e-7,0.003333711,0.0004722691,0.955328,0.001141237,0.01258909,0.01040762],"study_design_scores_gemma":[0.02279604,0.01785515,0.06911887,0.06732759,0.001864146,0.000008321287,0.1318815,0.09339742,0.5817316,0.009093247,0.001886914,0.003039249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940343,0.00001110821,0.0005037984,0.0004613813,0.0003327151,0.004172561,0.00001882323,0.00003001376,0.0004352327],"genre_scores_gemma":[0.9919633,0.00004587605,0.00695923,0.00005663621,0.0001832448,0.0005254881,0.000001746194,0.0000340616,0.0002303818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3735964,"threshold_uncertainty_score":0.7238817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08688829904563516,"score_gpt":0.334853556478222,"score_spread":0.2479652574325868,"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."}}