{"id":"W1642604425","doi":"","title":"Effect of traffic characteristics and road geometric parameters on developed traffic noise levels","year":2005,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Noise Effects and Management","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Traffic noise; Noise (video); Intersection (aeronautics); Interval (graph theory); Traffic volume; Statistics; Environmental science; Mathematics; Simulation; Computer science; Engineering; Noise reduction; Transport engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000852059,0.0002634764,0.000478634,0.0007182227,0.0003460203,0.00001720454,0.0001781815,0.0002148243,0.000163797],"category_scores_gemma":[0.0007479913,0.0002322622,0.00005254451,0.0004905722,0.00007682753,0.00005431427,0.00003687538,0.0004263375,0.0001712584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005383922,"about_ca_system_score_gemma":0.0004916557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190391,"about_ca_topic_score_gemma":0.005077658,"domain_scores_codex":[0.9979857,0.0002915591,0.0004786475,0.0003028675,0.0002141873,0.0007270222],"domain_scores_gemma":[0.9978816,0.0008952037,0.0001890077,0.0003188312,0.00008783852,0.0006275096],"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":[0.0001175946,0.00005977364,0.000988716,0.001282598,0.0001091499,0.00006725854,0.0008074365,0.007698923,0.0007829379,0.00007958612,0.02325694,0.9647491],"study_design_scores_gemma":[0.007614668,0.003507869,0.8272269,0.001411615,0.0009965508,0.00001022174,0.0007323129,0.06530094,0.0002653384,0.000008436781,0.09101403,0.00191114],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964162,0.00008704702,0.0001804644,0.0003710974,0.0007939858,0.001194184,0.00026706,0.00005039935,0.0006395459],"genre_scores_gemma":[0.9962755,0.0000747322,0.000788676,0.001400932,0.0002048244,0.00006004864,0.00003686174,0.00004678328,0.001111656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9628379,"threshold_uncertainty_score":0.9471377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238566799252442,"score_gpt":0.3292200687687398,"score_spread":0.2968344007762154,"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."}}