{"id":"W4281682858","doi":"10.1016/j.jweia.2022.105046","title":"Calculating gas emissions from open-pit mines using inverse dispersion modelling: A numerical evaluation using CALPUFF and CFD-LS","year":2022,"lang":"en","type":"article","venue":"Journal of Wind Engineering and Industrial Aerodynamics","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Guelph","funders":"","keywords":"Computational fluid dynamics; Atmospheric dispersion modeling; Dispersion (optics); Terrain; Environmental science; Meteorology; Range (aeronautics); Atmospheric sciences; Mechanics; Air pollution; Geology; Engineering; Chemistry; Aerospace engineering; Physics","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":[0.0004452454,0.0005267496,0.0007071492,0.000605843,0.0007738667,0.0008287344,0.0008302914,0.001447802,0.0009816535],"category_scores_gemma":[0.001304775,0.0003659072,0.0007579207,0.0005943199,0.0004357286,0.0007851925,0.0004789716,0.0006004883,0.0001710011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00094995,"about_ca_system_score_gemma":0.001171685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02489156,"about_ca_topic_score_gemma":0.01878232,"domain_scores_codex":[0.9998056,0.00003700392,0.00001593375,0.00002957286,0.0000868073,0.00002513684],"domain_scores_gemma":[0.9991479,0.0005812654,0.00004639826,0.00004830627,0.000148167,0.00002794295],"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":[0.00016054,0.000156229,0.006624201,0.0001069188,0.00002078798,0.000135031,0.00009459461,0.9688351,0.009016177,0.000689352,0.000123296,0.01403773],"study_design_scores_gemma":[0.00002144467,0.00007393704,0.001745229,0.000007478543,0.00000909556,0.00002476942,0.00003751169,0.9937417,0.003972126,0.0001912065,0.0001660713,0.000009441627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614149,0.0001479461,0.03164356,0.00007483408,0.00002464158,0.0000698329,0.0002267295,0.0002597595,0.006137714],"genre_scores_gemma":[0.9851488,0.00007498168,0.01344705,0.000008534744,0.000004322781,0.00004014988,0.0001082808,0.0000382935,0.001129534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02489156,"threshold_uncertainty_score":0.04949331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06544537778642116,"score_gpt":0.2605721219935053,"score_spread":0.1951267442070841,"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."}}