{"id":"W2087740252","doi":"10.1016/j.jweia.2011.01.003","title":"Near-field pollutant dispersion in the built environment by CFD and wind tunnel simulations","year":2011,"lang":"en","type":"article","venue":"Journal of Wind Engineering and Industrial Aerodynamics","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Concordia University","funders":"","keywords":"ASHRAE 90.1; Computational fluid dynamics; Wind tunnel; Environmental science; Pollutant; Plume; Dispersion (optics); Turbulence; Atmospheric dispersion modeling; Marine engineering; Meteorology; Engineering; Air pollution; Aerospace engineering; Geography; Physics; Chemistry","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":[0.0004268947,0.0005975474,0.0008625482,0.0007371844,0.00092519,0.0009460616,0.0008117968,0.001735579,0.001137474],"category_scores_gemma":[0.001341548,0.0005480844,0.0008255262,0.0008714496,0.0008955047,0.001124368,0.0006705074,0.0007347045,0.0001507225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008538655,"about_ca_system_score_gemma":0.001020513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06496992,"about_ca_topic_score_gemma":0.03086546,"domain_scores_codex":[0.9997891,0.00005468546,0.00001534923,0.00003430709,0.00005283285,0.00005384504],"domain_scores_gemma":[0.9992473,0.0003881966,0.00006503949,0.0000685917,0.0001334562,0.00009748558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001119321,0.00013089,0.004860084,0.00001644851,0.00002247819,0.0001154946,0.00004702251,0.9915516,0.001028003,0.0003805236,0.0001180674,0.001617474],"study_design_scores_gemma":[0.0000354585,0.00004510604,0.002195942,0.000003896028,0.000007194803,0.00001104583,0.00003914443,0.9969949,0.0003938233,0.000175885,0.00008178006,0.00001597449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940579,0.00007580241,0.003130772,0.00006187349,0.00002246921,0.00002636519,0.0002161755,0.00009951846,0.002309094],"genre_scores_gemma":[0.998126,0.00003888417,0.001066575,0.000008455394,0.0000069275,0.0000133707,0.0001205387,0.00001423048,0.0006050369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06496992,"threshold_uncertainty_score":0.1291835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666757618985085,"score_gpt":0.1892943868763034,"score_spread":0.1726268106864526,"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."}}