{"id":"W4313006916","doi":"10.1121/10.0015624","title":"Assessing community noise annoyance: Two decades of the international technical specification ISO/TS 15666:2003","year":2022,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Noise Effects and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Health Canada","funders":"","keywords":"Annoyance; Standardization; Noise (video); Commission; Scale (ratio); Computer science; Point (geometry); Risk analysis (engineering); Business; Mathematics; Geography; 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":[0.05584912,0.002062721,0.001546657,0.00940296,0.001871151,0.007034721,0.003693132,0.002760072,0.001744078],"category_scores_gemma":[0.09897191,0.00106519,0.001678513,0.009048527,0.004278346,0.004453552,0.004925434,0.00524128,0.001975561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006822152,"about_ca_system_score_gemma":0.01904012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04001596,"about_ca_topic_score_gemma":0.04413188,"domain_scores_codex":[0.8849288,0.02227154,0.0183966,0.004611241,0.06866726,0.001124512],"domain_scores_gemma":[0.8690073,0.01300335,0.00681262,0.006771828,0.1033604,0.001044596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002431555,0.0004495457,0.03417424,0.004746669,0.0001668853,0.0002632914,0.01018944,0.004755181,0.01076695,0.03317301,0.05713693,0.8439347],"study_design_scores_gemma":[0.0000589386,0.0009767181,0.111872,0.01147074,0.0002771879,0.0010589,0.009405449,0.009452618,0.01578536,0.02297371,0.8161196,0.0005488499],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06378765,0.03640416,0.7361564,0.02752891,0.01075252,0.008096761,0.007017054,0.002792279,0.1074643],"genre_scores_gemma":[0.232404,0.03722187,0.6522971,0.008109448,0.001963812,0.011799,0.01816752,0.001612968,0.03642423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05584912,"threshold_uncertainty_score":0.2953619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05590320235020284,"score_gpt":0.4085071963273803,"score_spread":0.3526039939771775,"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."}}