{"id":"W4392585463","doi":"10.5194/egusphere-egu24-4829","title":"A one-dimensional urban flow model with an Eddy-diffusivity Mass-flux (EDMF) scheme and refined turbulent transport (MLUCM v3.0)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Eddy diffusion; Turbulence; Mass transport; Flux (metallurgy); Mechanics; Mass flux; Thermal diffusivity; Flow (mathematics); Large eddy simulation; Physics; Statistical physics; Meteorology; Environmental science; Materials science; Thermodynamics; 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":[0.0002994456,0.001040494,0.001070688,0.0005998851,0.0006620283,0.001054934,0.00200159,0.001422782,0.004041063],"category_scores_gemma":[0.0005742279,0.0005397602,0.001027844,0.0007711278,0.0005484711,0.0006181929,0.000781279,0.001133787,0.0006348517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009154986,"about_ca_system_score_gemma":0.001396112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02458507,"about_ca_topic_score_gemma":0.01475311,"domain_scores_codex":[0.9998403,0.0000365926,0.00001332247,0.00004067809,0.00003537836,0.00003367049],"domain_scores_gemma":[0.9997471,0.00007744897,0.00004198522,0.00003355468,0.00006569857,0.00003431865],"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":[0.00004075613,0.00007461807,0.001149268,0.00003323882,0.00001789768,0.00005425553,0.00003608143,0.9884518,0.001892995,0.004164882,0.0009662621,0.003117937],"study_design_scores_gemma":[0.00001809105,0.00001015388,0.0002368548,0.000003203928,0.000004223401,0.00000653509,0.000007884086,0.9978608,0.0002859659,0.0004315595,0.001127111,0.000007635719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4699148,0.0007403097,0.4688135,0.0008900413,0.0003446347,0.0008742046,0.01139821,0.004824551,0.04219968],"genre_scores_gemma":[0.8086786,0.000401313,0.1711168,0.0001877179,0.00007807981,0.001047226,0.006155209,0.0003882223,0.01194678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02458507,"threshold_uncertainty_score":0.04888391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163146806815909,"score_gpt":0.2209262061793932,"score_spread":0.2046115254978023,"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."}}