{"id":"W2885339850","doi":"10.1109/tste.2018.2863941","title":"Investigation of Horizontal and Vertical Wind Shear Effects Using a Wind Turbine Emulator","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Wind shear; Aerodynamics; Wind power; Turbine; Wind speed; Wind profile power law; Marine engineering; Engineering; Environmental science; Meteorology; Mechanical engineering; Aerospace engineering; Physics; Electrical 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":[0.00009794413,0.0001630548,0.000185284,0.0002512641,0.0001561441,0.00003100247,0.00006744961,0.0001115054,0.00003621601],"category_scores_gemma":[0.000008809544,0.0001623586,0.00004154651,0.0003649129,0.0001601119,0.0002089335,0.000002788511,0.0001290165,0.00000305506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001865622,"about_ca_system_score_gemma":0.0001054371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003541697,"about_ca_topic_score_gemma":0.000024886,"domain_scores_codex":[0.9989399,0.0000336127,0.0001909126,0.0001882429,0.0002307453,0.000416587],"domain_scores_gemma":[0.9994363,0.00006383432,0.00001124926,0.0001564753,0.0001164099,0.0002156934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007383451,0.0002292889,0.0003343761,0.001431608,0.0007446976,0.0002487978,0.002349388,0.4925763,0.473353,0.004997065,0.0007288536,0.02226821],"study_design_scores_gemma":[0.0008661286,0.0005057431,0.0007525253,0.00007210955,0.00003308489,0.00002043457,0.00027193,0.06128782,0.9344581,0.0004821308,0.0009852407,0.0002648006],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8771247,0.00008521583,0.1220275,0.00001955369,0.0001936469,0.00008414155,0.00000173225,0.00007896308,0.0003844969],"genre_scores_gemma":[0.9989024,0.00002324409,0.0006387734,0.00002597963,0.0000919282,0.000008135189,0.000001872973,0.00003327883,0.0002743735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.461105,"threshold_uncertainty_score":0.6620792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00948840736049418,"score_gpt":0.2152482037730397,"score_spread":0.2057597964125455,"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."}}