{"id":"W2899082931","doi":"10.1007/978-3-319-99719-3_14","title":"Large Eddy Simulation of Turbulent Flow Over a Hill Using a Canopy Stress Model","year":2018,"lang":"en","type":"book-chapter","venue":"Springer proceedings in mathematics & statistics","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Turbulence; Mesoscale meteorology; Large eddy simulation; Reynolds stress; Meteorology; Terrain; Immersed boundary method; Flow (mathematics); Boundary layer; Discretization; Planetary boundary layer; Mechanics; Geology; Boundary (topology); Mathematics; Physics; Mathematical analysis; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004014796,0.0004619658,0.0006298073,0.0001286598,0.0001099529,0.00004338886,0.0002885257,0.0002450318,0.0008878379],"category_scores_gemma":[0.0001421395,0.0004447574,0.00008671344,0.00006103794,0.0002485603,0.0001349549,0.0004504988,0.0003203823,0.00005418795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003493017,"about_ca_system_score_gemma":0.00003367382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001582114,"about_ca_topic_score_gemma":0.00005133491,"domain_scores_codex":[0.9975228,0.000003718881,0.0008211446,0.0004725077,0.0007538074,0.0004260272],"domain_scores_gemma":[0.9988393,0.00009723931,0.0006575948,0.0002110298,0.0001055874,0.00008928096],"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":[0.0001277564,0.001669759,0.003863969,0.009853503,0.0005928809,0.0001066196,0.08741256,0.718089,0.002138093,0.160866,0.01249257,0.002787272],"study_design_scores_gemma":[0.0002732645,0.00004166431,0.00004761432,0.0008320125,0.0001116882,0.000001532264,0.0001415841,0.8875832,0.00007993796,0.1088674,0.00158552,0.0004346033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.12108,0.0003318298,0.6705894,0.00005472068,0.0005890303,0.003419112,0.004140493,0.0002259523,0.1995695],"genre_scores_gemma":[0.1058712,0.0002442948,0.8373349,0.0001147405,0.0003935081,0.00003305374,0.00005761514,0.0003588519,0.0555918],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1694942,"threshold_uncertainty_score":0.9998004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233116059034521,"score_gpt":0.2633227543646232,"score_spread":0.2400111484611711,"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."}}