{"id":"W2549147836","doi":"10.1121/1.4969860","title":"Modeling the effects of hearing protection on speech recognition as function of noise level and hearing status","year":2016,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Active listening; Noise (video); Computer science; Hearing protection; Audiology; Hearing loss; Speech recognition; Psychology; Medicine; Communication; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009040883,0.000756142,0.0004923651,0.0003062489,0.000239267,0.0008073801,0.0006997472,0.001067153,0.002865286],"category_scores_gemma":[0.003882547,0.000360233,0.001002419,0.0002217931,0.0002757138,0.0007465788,0.0005175763,0.0006877928,0.0006135739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006466808,"about_ca_system_score_gemma":0.0008930337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01790361,"about_ca_topic_score_gemma":0.01064511,"domain_scores_codex":[0.9996797,0.0001023583,0.00001720461,0.00006488583,0.0000643008,0.00007160875],"domain_scores_gemma":[0.9983529,0.001291774,0.0001222885,0.00006702316,0.0001302955,0.00003573164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001177883,0.000982141,0.0251042,0.0003327882,0.0001179864,0.0002601254,0.0006739961,0.90855,0.03127266,0.00196368,0.000346879,0.02921762],"study_design_scores_gemma":[0.00004008161,0.0009225574,0.01110432,0.00002486866,0.0001211494,0.00006767286,0.0001656677,0.9807041,0.005638171,0.0007881086,0.0003930537,0.00003029538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734017,0.0001861354,0.02321845,0.000121287,0.00001772126,0.0000804487,0.0002134625,0.00007574477,0.002685111],"genre_scores_gemma":[0.9927387,0.0001726685,0.004723332,0.00002162777,0.000004395914,0.00007620196,0.0001126885,0.00001269443,0.002137779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01790361,"threshold_uncertainty_score":0.03559881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06191538182232303,"score_gpt":0.3343893436886541,"score_spread":0.272473961866331,"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."}}