{"id":"W2522036952","doi":"10.1080/10962247.2016.1232667","title":"Simulation of gaseous pollutant dispersion around an isolated building using the <i>k–ω SST</i> (shear stress transport) turbulence model","year":2016,"lang":"en","type":"article","venue":"Journal of the Air & Waste Management Association","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbulence; AERMOD; Computational fluid dynamics; Reynolds-averaged Navier–Stokes equations; Mechanics; Atmospheric dispersion modeling; K-epsilon turbulence model; Turbulence modeling; Dispersion (optics); Reynolds stress; Meteorology; Environmental science; Physics; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006779003,0.0001148208,0.0001596596,0.00003890659,0.0002621408,0.00001747488,0.0003310269,0.00004100991,0.00001390173],"category_scores_gemma":[0.00003499602,0.00005672562,0.0001401442,0.0002001737,0.00004846616,0.0005197283,0.000112022,0.00009573413,0.000001493424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005125389,"about_ca_system_score_gemma":0.000006289121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002375645,"about_ca_topic_score_gemma":0.00001470588,"domain_scores_codex":[0.9984912,0.0001063596,0.0003990542,0.0001263329,0.0006826483,0.0001943632],"domain_scores_gemma":[0.9988852,0.0000794327,0.0007902847,0.0001764677,0.00003526254,0.00003337413],"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":[0.00004415469,0.00005694595,0.02577327,0.000008183448,0.00007845399,0.0000017076,0.0004504906,0.9582728,0.01232275,0.00001776328,0.00005311316,0.002920432],"study_design_scores_gemma":[0.0008132283,0.0001182311,0.02820589,0.0003614766,0.0003433852,0.000001928351,0.001184681,0.9654412,0.002451822,0.0007774761,0.000135242,0.0001654131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692246,0.00002897474,0.02869743,0.001576404,0.0001845573,0.0001687065,0.00001171375,0.00000674363,0.0001008195],"genre_scores_gemma":[0.998868,0.00006198525,0.0005082737,0.0001038071,0.00008232125,5.957569e-7,3.094905e-7,0.000009880491,0.0003647914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02964338,"threshold_uncertainty_score":0.2313204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030370664982351,"score_gpt":0.2269130402399105,"score_spread":0.216609333590087,"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."}}