{"id":"W3170263962","doi":"10.1134/s0015462821020026","title":"A Very Large Eddy Simulation Model Using a Reductionist Inlet Turbulence Generator and Wall Modeling for Stable Atmospheric Boundary Layers","year":2021,"lang":"en","type":"article","venue":"Fluid Dynamics","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Turbulence; Inflow; Filter (signal processing); Mechanics; Large eddy simulation; Eddy; Cascade; Meteorology; Physics; Computational physics; Statistical physics; Computer science","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":[0.0001211798,0.000138933,0.0001464615,0.000005391085,0.0006244405,0.0001011294,0.00006397323,0.00006058901,0.00002461303],"category_scores_gemma":[0.00002990384,0.0001462689,0.00004616479,0.000151936,0.0000788894,0.0003208733,0.0001582861,0.00007094159,0.000004186308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002949527,"about_ca_system_score_gemma":0.00005420848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005858814,"about_ca_topic_score_gemma":0.0001510888,"domain_scores_codex":[0.9990141,0.0000178877,0.0001741872,0.0003446014,0.0001603525,0.0002888143],"domain_scores_gemma":[0.9996997,0.00001878017,0.0000365811,0.0001531852,0.00003027712,0.00006153664],"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":[0.00001449022,0.00003389964,0.001008482,0.00001833276,0.00001217665,0.000002053776,0.0003330818,0.9948495,0.003117516,0.00007444379,0.000120202,0.000415797],"study_design_scores_gemma":[0.000272876,0.00001622176,0.00004215533,0.00001623542,0.00002486333,0.000004453396,0.0002762601,0.9977176,0.00005893915,0.0008890463,0.0005030451,0.0001782791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5965135,0.0002540021,0.4028311,0.00009487118,0.0001020968,0.00009354098,0.0000394974,0.00002240881,0.00004903905],"genre_scores_gemma":[0.9221897,0.00007683185,0.07677327,0.0002044522,0.00006914296,0.00001291528,0.00004326797,0.00002279697,0.0006076404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3260578,"threshold_uncertainty_score":0.5964671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643532389726957,"score_gpt":0.2418735165371987,"score_spread":0.2254381926399291,"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."}}