{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001466182,0.0001166545,0.0001165516,0.00002326171,0.00005176263,0.00001820119,0.0001395817,0.00004077203,0.0001119915],"category_scores_gemma":[0.00006237561,0.00005578996,0.00001971449,0.000243096,0.0001065962,0.0001140844,0.00004626095,0.0000794508,0.00001598504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000813092,"about_ca_system_score_gemma":0.00001721599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001419343,"about_ca_topic_score_gemma":0.000006256094,"domain_scores_codex":[0.9992286,0.00001219839,0.0001461081,0.0001289158,0.0002308467,0.0002533103],"domain_scores_gemma":[0.9994979,0.0001976587,0.00001613463,0.0001795751,0.00002393837,0.00008479183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003373388,0.0001599833,0.07279507,0.0006079266,0.0007259756,0.00007163276,0.00191756,0.6600568,0.1673514,0.0370879,0.01422749,0.04466097],"study_design_scores_gemma":[0.003792294,0.0008539883,0.8493986,0.00133786,0.00003547184,0.00006423874,0.001147459,0.01885529,0.103541,0.01147607,0.007960166,0.001537652],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918897,0.0002006552,0.003157921,0.0003590009,0.00004910776,0.0000669014,0.000002333211,0.000071053,0.004203361],"genre_scores_gemma":[0.9984131,0.0003372054,0.0004412065,0.0000578039,0.00002523906,0.000003607088,4.208893e-7,0.00001284966,0.000708528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7766035,"threshold_uncertainty_score":0.2275048,"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."}}