{"id":"W2971931269","doi":"10.1108/hff-12-2018-0771","title":"Numerical study of plume emission from an elevated line source in a wall-bounded flow","year":2019,"lang":"en","type":"article","venue":"International Journal of Numerical Methods for Heat &amp Fluid Flow","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Plume; Turbulence; Line source; Mechanics; Physics; Direct numerical simulation; Panache; Flow (mathematics); Line (geometry); Dispersion (optics); Reynolds number; Meteorology; Optics; Geometry; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001128931,0.0002601548,0.0007115257,0.0001557916,0.00006131613,0.00004278269,0.0007483733,0.0001112256,0.0009961661],"category_scores_gemma":[0.0005591024,0.0002032495,0.0002446921,0.0003140051,0.00007390157,0.0003554045,0.0001895573,0.0003573465,0.00003405018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912725,"about_ca_system_score_gemma":0.00003513964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006333314,"about_ca_topic_score_gemma":0.00001398696,"domain_scores_codex":[0.9968542,0.0005058917,0.001083963,0.000396603,0.0008486285,0.0003106821],"domain_scores_gemma":[0.9983894,0.0007269338,0.0002684345,0.000249561,0.0001510928,0.0002146009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003661582,0.007145572,0.1978495,0.00002186234,0.0007295549,0.00004000691,0.0072271,0.1375374,0.3209502,0.000008634486,0.001014717,0.3238138],"study_design_scores_gemma":[0.009308017,0.004726891,0.08156163,0.0002544365,0.0001237008,0.00007474545,0.001001991,0.856402,0.01090674,0.002533913,0.03239129,0.0007146121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7256029,0.00007846755,0.2723909,0.0008142161,0.0007359438,0.0002941336,0.00001323249,0.0000144569,0.00005579374],"genre_scores_gemma":[0.7321481,0.00001750758,0.2670333,0.0002874051,0.0002793923,0.0000123087,0.00001565494,0.00003108361,0.0001752222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7188646,"threshold_uncertainty_score":0.999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731184588403661,"score_gpt":0.3622329855047043,"score_spread":0.3349211396206677,"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."}}