{"id":"W2994550340","doi":"","title":"Evaluation of road transportation noise modelling algorithmsand software packages","year":2011,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Noise Effects and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Christian ministry; Transport engineering; Noise (video); Software; Traffic noise; Ministry of Transport; Computer science; Road traffic; Engineering; Civil engineering; Noise reduction; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01225506,0.00156898,0.0008424183,0.002540057,0.001136361,0.00266066,0.003283127,0.000706816,0.004231294],"category_scores_gemma":[0.03873507,0.0005789911,0.001008779,0.002928096,0.0005880385,0.001736497,0.001555573,0.0006248221,0.001521801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006044848,"about_ca_system_score_gemma":0.01049544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.227485,"about_ca_topic_score_gemma":0.1707733,"domain_scores_codex":[0.9879531,0.002149964,0.001361855,0.001107267,0.006921119,0.0005067212],"domain_scores_gemma":[0.9659956,0.008894172,0.001033451,0.002163933,0.02145757,0.0004553404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00173753,0.001149982,0.02016309,0.0009311778,0.0002710559,0.00020791,0.001153355,0.1394153,0.007694883,0.005631348,0.01739063,0.8042538],"study_design_scores_gemma":[0.0006387198,0.0009164613,0.0228658,0.0004179709,0.0003300896,0.000196299,0.001249339,0.8871517,0.03703086,0.002482464,0.04648111,0.000239162],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4486594,0.001320817,0.4667795,0.000902995,0.0003509534,0.005249954,0.006640607,0.03945051,0.0306452],"genre_scores_gemma":[0.3751034,0.0008962242,0.5967224,0.000165256,0.00003662358,0.001503202,0.01184098,0.002904672,0.01082732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.227485,"threshold_uncertainty_score":0.4523218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1332240890479205,"score_gpt":0.3561579911755863,"score_spread":0.2229339021276658,"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."}}