{"id":"W2586776377","doi":"10.1115/imece2016-67421","title":"Understanding the Influence of Turbine Geometry and Atmospheric Turbulence on Wind Turbine Wakes","year":2016,"lang":"en","type":"article","venue":"","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wake; Turbulence; Aerodynamics; Physics; Turbine; Mechanics; Wake turbulence; Aerodynamic force; Rotor (electric); Aerospace engineering; Computational fluid dynamics; Geometry; Meteorology; Classical mechanics; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001599407,0.0003748569,0.0002759973,0.0002698551,0.0001974143,0.0003726589,0.0002296654,0.0002919181,0.0003762949],"category_scores_gemma":[0.0007704378,0.0002115234,0.0002348678,0.0001543566,0.000289604,0.0008926372,0.0003111063,0.0002021123,0.0001112922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001963994,"about_ca_system_score_gemma":0.0002803617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003177986,"about_ca_topic_score_gemma":0.003767343,"domain_scores_codex":[0.9999212,0.00001456512,0.00000534143,0.00001381648,0.00002420261,0.00002084685],"domain_scores_gemma":[0.9998061,0.0000909852,0.00004508675,0.000021463,0.000024375,0.0000119423],"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":[0.0001732026,0.0001561161,0.0749644,0.0002442816,0.00004878816,0.001344792,0.000325309,0.7372437,0.1366668,0.004336426,0.0005417991,0.04395447],"study_design_scores_gemma":[0.0000159701,0.0001837268,0.09947816,0.00002853523,0.00003200607,0.000164591,0.0002541019,0.8826094,0.01377569,0.00229825,0.001115392,0.00004408098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585617,0.0005864525,0.03765863,0.0001176077,0.00003931881,0.00002571979,0.000109844,0.0001013842,0.002799354],"genre_scores_gemma":[0.9967598,0.0003303477,0.002629752,0.00001295761,0.00001173365,0.000005681572,0.00004780348,0.00001342535,0.000188435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003177986,"threshold_uncertainty_score":0.006318986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256663346983564,"score_gpt":0.2144703304478387,"score_spread":0.1919036969780031,"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."}}