{"id":"W1552041625","doi":"","title":"Error bounds, uncertainties and confidence limits of outdoor sound propagation","year":2006,"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":"Microphone; Noise (video); Acoustics; Wind speed; Environmental science; Relative humidity; Observational error; Standard deviation; Measurement uncertainty; Humidity; Meteorology; Statistics; Mathematics; Sound pressure; Computer science; Geography; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05365081,0.001312395,0.001697261,0.004266174,0.0008861097,0.005977035,0.002625858,0.002438801,0.001681745],"category_scores_gemma":[0.2235363,0.0007220756,0.001914885,0.002809388,0.00263447,0.002759178,0.002845947,0.002015429,0.0005513565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450609,"about_ca_system_score_gemma":0.001254537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006525951,"about_ca_topic_score_gemma":0.002385908,"domain_scores_codex":[0.9582697,0.01413341,0.003837041,0.006567043,0.01518048,0.002012306],"domain_scores_gemma":[0.5815479,0.351553,0.01497779,0.02354018,0.02700415,0.001376866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0020063,0.0003265837,0.09024973,0.001657377,0.001639244,0.000901148,0.001648759,0.5887662,0.006796551,0.1213991,0.003069537,0.1815394],"study_design_scores_gemma":[0.0001181566,0.0008023988,0.06206486,0.001381714,0.0005213278,0.001820678,0.00132852,0.7973137,0.01752372,0.1045862,0.0120633,0.0004755184],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1408064,0.005100899,0.8412265,0.0004780297,0.000239066,0.0001468983,0.001536441,0.001055863,0.009409925],"genre_scores_gemma":[0.9034218,0.001129558,0.0914574,0.0001566478,0.000250815,0.0003489705,0.001930501,0.0002065968,0.001097769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05365081,"threshold_uncertainty_score":0.283736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964335248425181,"score_gpt":0.3423227485318663,"score_spread":0.3026793960476145,"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."}}