{"id":"W2165147401","doi":"10.1002/we.544","title":"Wake impacts on downstream wind turbine performance and yaw alignment","year":2012,"lang":"en","type":"article","venue":"Wind Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wake; Turbine; Nacelle; Wind power; Aerodynamics; Marine engineering; Wind speed; Wind direction; Environmental science; Offshore wind power; Meteorology; Wind profile power law; Wake turbulence; Turbulence; Aerospace engineering; Engineering; Physics; Electrical engineering","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":[0.0002558524,0.0002700043,0.0002907191,0.0002082579,0.0002371618,0.0003296768,0.0001057969,0.0001954603,0.001177797],"category_scores_gemma":[0.0008020248,0.0001568469,0.0001566737,0.0001205798,0.0001377921,0.0002122184,0.0002879663,0.000222425,0.000373773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007953773,"about_ca_system_score_gemma":0.0001083303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006578577,"about_ca_topic_score_gemma":0.001069415,"domain_scores_codex":[0.9998972,0.00001431346,0.000008372777,0.00002257293,0.00003470205,0.00002285654],"domain_scores_gemma":[0.999594,0.0001382169,0.00007582357,0.0000407849,0.00009633088,0.00005488297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002141712,0.0005798666,0.3443574,0.0001779022,0.0001183678,0.001276374,0.0003113539,0.1008706,0.4887489,0.0001575505,0.001250192,0.06000976],"study_design_scores_gemma":[0.00002869521,0.002038541,0.85567,0.00001274374,0.00004665329,0.000359835,0.0002584064,0.07776695,0.0631795,0.0001261126,0.000479599,0.00003304991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985436,0.00001678217,0.0009300323,0.000007407227,0.000004929545,0.000003843574,0.00006058286,0.00003309596,0.0003997287],"genre_scores_gemma":[0.9996557,0.000007163048,0.0001181453,0.000001638148,0.000001024501,0.000001626057,0.00007868138,0.000004465271,0.0001314803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001177797,"threshold_uncertainty_score":0.003940105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00869554370904662,"score_gpt":0.1991562492904073,"score_spread":0.1904607055813607,"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."}}