{"id":"W113287953","doi":"","title":"A Large Eddy Simulation to determine the effect of trees on wind and turbulence over a suburban surface","year":2014,"lang":"en","type":"article","venue":"Infoscience (Ecole Polytechnique Fédérale de Lausanne)","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meteorology; Environmental science; Turbulence; Wind speed; Drag; Planetary boundary layer; Drag coefficient; Lidar; Wind direction; Roughness length; Geography; Wind profile power law; Remote sensing; Physics; Mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002244821,0.0003695396,0.0003814717,0.0002467322,0.0004686474,0.0005865509,0.0004378076,0.0006888671,0.00146901],"category_scores_gemma":[0.0006007963,0.000194852,0.0003877409,0.0003970107,0.0002638987,0.0003289036,0.0002880355,0.000393879,0.0001482662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005920784,"about_ca_system_score_gemma":0.0008338086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05124591,"about_ca_topic_score_gemma":0.03709875,"domain_scores_codex":[0.999928,0.00001861136,0.000004765582,0.00001236261,0.00001572752,0.00002050303],"domain_scores_gemma":[0.9996161,0.000207879,0.00002966475,0.00002561564,0.00006467955,0.00005592694],"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":[0.0001662719,0.0001806504,0.01031462,0.00002353737,0.00002886761,0.0001507839,0.00006504678,0.9824126,0.003141175,0.000598348,0.0003959364,0.002522167],"study_design_scores_gemma":[0.00002018089,0.00003103684,0.001926653,0.000001568842,0.000002861762,0.00000422695,0.00002330552,0.9974848,0.0003299385,0.00005637869,0.0001154946,0.000003498127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904777,0.00004031405,0.004707613,0.0000818492,0.00001359551,0.00003983803,0.0004395595,0.0001396742,0.004059836],"genre_scores_gemma":[0.9948305,0.00002989536,0.003708582,0.00001773131,0.000003038988,0.0000281699,0.0003976002,0.00001894666,0.0009655228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05124591,"threshold_uncertainty_score":0.1018952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006372502508474791,"score_gpt":0.2404743465607732,"score_spread":0.2341018440522984,"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."}}