{"id":"W4235314917","doi":"10.1121/1.4799996","title":"Estimation of noise exposure level for subjects wearing hearing protector devices","year":2013,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail; École de Technologie Supérieure","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Microphone; Noise (video); Sound pressure; Acoustics; Computer science; Mire; Noise exposure; Ambient noise level; Noise level; Noise measurement; Audiology; Hearing loss; Sound (geography); Artificial intelligence; Noise reduction; Telecommunications; Physics; Medicine; Geography","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":[0.0004002143,0.0005159262,0.000365673,0.0006037399,0.0002134221,0.000301824,0.000208441,0.0006532544,0.001035934],"category_scores_gemma":[0.001232821,0.0001686827,0.0002576775,0.0001843718,0.0001573423,0.0002005078,0.0003058538,0.0001970375,0.0004644572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000817903,"about_ca_system_score_gemma":0.000126909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008860949,"about_ca_topic_score_gemma":0.001453654,"domain_scores_codex":[0.9996332,0.0001084863,0.00003335463,0.00009212327,0.00010203,0.00003080377],"domain_scores_gemma":[0.9994621,0.0002072419,0.00008398305,0.00004660713,0.000163942,0.00003620543],"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":[0.003464534,0.0008787142,0.2937019,0.0007098723,0.0001824937,0.0006309852,0.002299841,0.002136301,0.5321751,0.0001503813,0.0004968785,0.1631729],"study_design_scores_gemma":[0.00006932793,0.006495727,0.8675511,0.00006784619,0.0003544781,0.001711056,0.001996378,0.008041088,0.1118271,0.0001726271,0.001633542,0.00007981277],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779705,0.0003555235,0.02047916,0.00002854373,0.00001469049,0.00005876735,0.0001645114,0.00009729924,0.0008309862],"genre_scores_gemma":[0.9829729,0.0003721716,0.01503596,0.00003794811,0.00001824441,0.00007925526,0.0002373397,0.00001825391,0.001227906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001035934,"threshold_uncertainty_score":0.003465533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005411554807728,"score_gpt":0.2696572740589587,"score_spread":0.2396031585108814,"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."}}