{"id":"W4389229450","doi":"10.3397/in_2023_0040","title":"Towards a revised international standard for personal sound exposure meters","year":2023,"lang":"en","type":"article","venue":"NOISE-CON proceedings","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"International standard; Sound level meter; Sound (geography); Noise (video); Normative; Test (biology); Sound exposure; Computer science; Measure (data warehouse); Commission; Engineering; Telecommunications; Business; Database; Noise level; Acoustics","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":[0.03272279,0.002046019,0.001436997,0.006052919,0.001723894,0.007242117,0.007287863,0.006940002,0.00532035],"category_scores_gemma":[0.0413443,0.001196785,0.001561539,0.004251009,0.002780485,0.006920695,0.004223905,0.008420781,0.01067563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003185635,"about_ca_system_score_gemma":0.01186442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004079692,"about_ca_topic_score_gemma":0.003058097,"domain_scores_codex":[0.9514325,0.009024817,0.006667575,0.002690521,0.02848581,0.001698752],"domain_scores_gemma":[0.9301244,0.006403083,0.001993082,0.005636203,0.05476079,0.001082456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002247407,0.0008293813,0.003211083,0.002132409,0.00004573419,0.0008577096,0.002348438,0.007722133,0.0325645,0.3112604,0.1620487,0.4767547],"study_design_scores_gemma":[0.00003287778,0.0002580428,0.001967587,0.001325208,0.00005034477,0.0005793844,0.0006120996,0.003649912,0.008029237,0.01623455,0.9671505,0.0001102136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01110819,0.01370441,0.7428366,0.01304686,0.01502417,0.002820492,0.00181144,0.00502757,0.1946202],"genre_scores_gemma":[0.04116524,0.009509177,0.8527127,0.004998279,0.001619446,0.002947604,0.008054944,0.001197256,0.07779533],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03272279,"threshold_uncertainty_score":0.1730567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695992529756223,"score_gpt":0.2739076506834733,"score_spread":0.2469477253859111,"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."}}