{"id":"W2164733602","doi":"10.1680/jees.2013.0026","title":"Simulation of odour dispersion downwind from natural windbreaks using the computational fluid dynamics standard <i>k</i> - <i>ε</i> model","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Windbreak; Environmental science; Turbulence; Plume; Dispersion (optics); Wind speed; Fluent; Meteorology; Atmospheric dispersion modeling; Wind direction; Atmospheric sciences; Computational fluid dynamics; Mechanics; Geology; Physics; Air pollution; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002173371,0.0004557567,0.0004334098,0.0003277461,0.0005507623,0.0005795896,0.0005993414,0.0008721407,0.001288761],"category_scores_gemma":[0.0006716663,0.0002501701,0.0005220136,0.000220657,0.0003913396,0.0003745763,0.0004383559,0.0005770238,0.0001161536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007238248,"about_ca_system_score_gemma":0.001075679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04144431,"about_ca_topic_score_gemma":0.0212003,"domain_scores_codex":[0.9999264,0.00001333839,0.000005581072,0.00001322846,0.00001643817,0.00002495176],"domain_scores_gemma":[0.9997136,0.0001521424,0.00003213599,0.00001718327,0.00004790876,0.00003694107],"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":[0.0000365199,0.00003902389,0.001980958,0.00001262648,0.000007857797,0.00003902586,0.00002467697,0.9945146,0.001795903,0.0002543961,0.0000540034,0.001240527],"study_design_scores_gemma":[0.000008698724,0.00002305153,0.0003612751,0.000002022133,0.000002442752,0.000003861071,0.00001086133,0.9989612,0.0005039374,0.00004631502,0.00007280186,0.000003449926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655285,0.00005755138,0.02900715,0.000094558,0.0000335739,0.00009497382,0.0003988424,0.0002273496,0.004557533],"genre_scores_gemma":[0.9873214,0.00005697243,0.01096579,0.00001810813,0.000003597717,0.0000811998,0.0002716769,0.00002158503,0.001259594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04144431,"threshold_uncertainty_score":0.08240616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005379024821859999,"score_gpt":0.1779798029707285,"score_spread":0.1726007781488685,"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."}}