{"id":"W4220940961","doi":"10.1121/10.0009835","title":"A finite element model to predict the double hearing protector effect on an in-house acoustic test fixture","year":2022,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acoustics; Test fixture; Sound transmission class; Sound power; Finite element method; Cushion; Attenuation; Acoustic attenuation; Transmission (telecommunications); Vibration; Materials science; Sound (geography); Physics; Computer science; Structural engineering; Engineering; Optics; Telecommunications","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":[0.0003348674,0.0005767203,0.0005748683,0.0005230121,0.0004274004,0.0005910821,0.001202458,0.002098625,0.003689759],"category_scores_gemma":[0.0008446745,0.0005227821,0.0006503133,0.0003955026,0.0005035335,0.0004336069,0.0003694301,0.0005560467,0.0006933114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005038144,"about_ca_system_score_gemma":0.0009587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01020197,"about_ca_topic_score_gemma":0.006469227,"domain_scores_codex":[0.9998624,0.00003210316,0.000008559157,0.00002058713,0.00005345501,0.00002288477],"domain_scores_gemma":[0.9997393,0.0001428203,0.00003227257,0.00001679441,0.00005418455,0.00001445028],"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":[0.00002875625,0.00002501037,0.0004502235,0.00003068509,0.000007394223,0.00008366979,0.00004040404,0.9921443,0.003794087,0.0007617694,0.0001294776,0.002504088],"study_design_scores_gemma":[0.000004483461,0.00002018931,0.000156712,0.000006923054,0.000004928756,0.00001362751,0.00001438933,0.9989161,0.0005281955,0.00009389227,0.00023732,0.000003297619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3501644,0.0005332381,0.6124662,0.0004616138,0.0001426602,0.0002803538,0.0007788956,0.0008214419,0.03435116],"genre_scores_gemma":[0.9412225,0.0003546754,0.0441944,0.0000800921,0.00001315038,0.0004154409,0.0002693823,0.00008532169,0.01336502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01020197,"threshold_uncertainty_score":0.02028513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556121468287542,"score_gpt":0.2859888074533678,"score_spread":0.2604275927704924,"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."}}