{"id":"W2624729267","doi":"10.1088/1742-6596/854/1/012010","title":"Effect of Wind Turbine Wakes on the Performance of a Real Case WRF-LES Simulation","year":2017,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wind Energy Institute of Canada","funders":"U.S. Department of Energy; National Science Foundation","keywords":"Wake; Turbine; Anemometer; Weather Research and Forecasting Model; Mast (botany); Meteorology; Environmental science; Wind speed; Turbulence kinetic energy; Atmospheric sciences; Wind power; Planetary boundary layer; Turbulence; Geology; Physics; Mechanics; Engineering; Aerospace engineering","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":[0.0002966874,0.00009958831,0.0002308843,0.00001062136,0.0002769349,0.00002659992,0.0002210645,0.00002339558,0.00006212178],"category_scores_gemma":[0.00008445964,0.00005446534,0.00007652689,0.00003325763,0.0004627407,0.0004236061,0.00008035386,0.0001172324,0.000003571657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001483868,"about_ca_system_score_gemma":0.0000123159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006823129,"about_ca_topic_score_gemma":0.00001832184,"domain_scores_codex":[0.999327,0.00005260372,0.0002178737,0.000066338,0.0002449005,0.00009129193],"domain_scores_gemma":[0.9989763,0.000175857,0.0005786571,0.0001948509,0.00005081102,0.00002356211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001612635,0.0003204406,0.3228682,0.0003475438,0.0002470098,0.0001287588,0.008189619,0.06468292,0.1158906,0.002914272,0.0003031011,0.4824949],"study_design_scores_gemma":[0.0006245062,0.003610606,0.1346022,0.0003385476,0.00008254663,0.00005054913,0.0005320858,0.003028367,0.8561479,0.0006581995,0.0001666805,0.0001577546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976141,0.000008372974,0.00003137704,0.0002106578,0.00007077423,0.00006383051,0.000005214993,0.000001807203,0.001993898],"genre_scores_gemma":[0.9997051,0.00006725266,0.00003104422,0.000005047943,0.00009332559,5.796077e-7,2.15953e-7,0.000004166919,0.00009323689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7402574,"threshold_uncertainty_score":0.2221032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031258736901049,"score_gpt":0.2628794617371296,"score_spread":0.2425668743681191,"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."}}