{"id":"W2167454636","doi":"","title":"A NEW CSA HEARING PROTECTION STANDARD","year":2014,"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":"Toronto Metropolitan University","funders":"","keywords":"Derating; Hearing protection; Computer science; Noise (video); Scheme (mathematics); Risk analysis (engineering); Field (mathematics); Work (physics); Reliability engineering; Engineering; Telecommunications; Hearing loss; Audiology; Electrical engineering; Artificial intelligence; Business; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003775312,0.00008964282,0.0001229495,0.0001272958,0.0005207133,0.00001671475,0.00008628998,0.000101807,0.0005026792],"category_scores_gemma":[0.0002301068,0.00008664826,0.00002191292,0.0001192233,0.00001098912,0.00004425589,0.00003010733,0.0003118496,0.0004033157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004913937,"about_ca_system_score_gemma":0.0008076607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1273946,"about_ca_topic_score_gemma":0.07266876,"domain_scores_codex":[0.9990011,0.00009854788,0.0001572911,0.0001513788,0.0001186434,0.0004730631],"domain_scores_gemma":[0.9990437,0.00005384532,0.00004839544,0.0002239726,0.00006132314,0.0005687454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003731495,0.000006704016,0.001679374,0.0005166858,0.00003883289,0.0000223479,0.001130487,0.000802461,0.005260572,0.01897157,0.6635101,0.3080235],"study_design_scores_gemma":[0.0005578598,0.0001151851,0.01679233,0.0001433841,0.00003206348,7.062989e-7,0.0002665367,0.002816007,0.00001433886,0.001626794,0.9774614,0.0001733814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0656836,0.00008061704,0.7623818,0.007615514,0.005253092,0.003116013,0.00004671472,0.0003121302,0.1555105],"genre_scores_gemma":[0.9712282,0.0000100486,0.003302014,0.003297414,0.001181353,0.00005933745,0.000007045187,0.00003405416,0.02088055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9055446,"threshold_uncertainty_score":0.9442526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03944429056333283,"score_gpt":0.3363555577853614,"score_spread":0.2969112672220286,"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."}}