{"id":"W4401353587","doi":"10.1007/s13369-024-09371-1","title":"Large-Eddy Simulation of Turbulent Airflow and Pollutant Dispersion from a Ground-level Point-Source in a Model Urban Area","year":2024,"lang":"en","type":"article","venue":"Arabian Journal for Science and Engineering","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Algoma University","funders":"North South University","keywords":"Turbulence; Large eddy simulation; Environmental science; Meteorology; Airflow; Canyon; Advection; Pollutant; Boundary layer; Wind tunnel; Mechanics; Dispersion (optics); Point source; Atmospheric dispersion modeling; Inflow; Wind speed; Geology; Physics; Air pollution; Chemistry; Geomorphology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004379742,0.00009142973,0.000109459,0.0001026775,0.0001654562,0.00008949266,0.00009256665,0.00002203175,0.000008289468],"category_scores_gemma":[0.00005759746,0.00007220003,0.00003042792,0.0002495275,0.00009504357,0.0005797162,0.00007181132,0.00009980443,9.366557e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008494048,"about_ca_system_score_gemma":0.00001401876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002087232,"about_ca_topic_score_gemma":0.00001086375,"domain_scores_codex":[0.9991736,0.000003551746,0.0001593664,0.0001976899,0.0002308316,0.0002349713],"domain_scores_gemma":[0.9997684,0.00004789796,0.00002284134,0.00005406976,0.000009238665,0.00009753343],"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":[0.00001155179,0.00001866205,0.002822292,0.00002167134,0.000008237642,0.000007759185,0.006006664,0.956144,0.0272459,0.00006105073,0.00006347441,0.007588731],"study_design_scores_gemma":[0.000190738,0.00004463056,0.01246023,0.0001599918,0.000008365477,0.00001635991,0.0004281512,0.9856519,0.0002376077,0.0003475371,0.0003589457,0.00009557548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8986385,0.0004731044,0.1003441,0.0003396292,0.00009873003,0.00006779559,0.00001154841,0.00001084191,0.00001571131],"genre_scores_gemma":[0.9977114,0.00006930156,0.002099502,0.00003183607,0.00003324169,0.00000198882,4.127106e-7,0.0000067515,0.00004558397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09907285,"threshold_uncertainty_score":0.2944232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533727412693073,"score_gpt":0.2266918420787065,"score_spread":0.2113545679517757,"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."}}