{"id":"W2775975670","doi":"10.1016/j.jweia.2017.11.007","title":"Parametric study of the dual vertical axis wind turbine using CFD","year":2017,"lang":"en","type":"article","venue":"Journal of Wind Engineering and Industrial Aerodynamics","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vertical axis wind turbine; Airfoil; Turbine; Computational fluid dynamics; Tip-speed ratio; Aerodynamics; Turbine blade; Sensitivity (control systems); Wind power; Marine engineering; Parametric statistics; Range (aeronautics); Aerospace engineering; 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":[0.0003368548,0.0004401684,0.0005551075,0.0004119246,0.0005766975,0.0008116725,0.0006283185,0.0008957282,0.003082142],"category_scores_gemma":[0.0008823587,0.0003080994,0.0005327112,0.0004168492,0.0007555903,0.0005658093,0.0006025732,0.0004299036,0.0002022704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543192,"about_ca_system_score_gemma":0.0003610651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662779,"about_ca_topic_score_gemma":0.001119706,"domain_scores_codex":[0.9998069,0.00004383029,0.00001060367,0.00002760727,0.00007320046,0.00003779867],"domain_scores_gemma":[0.9995385,0.0002529795,0.00005228012,0.00007060519,0.00005664366,0.00002899572],"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":[0.0003858866,0.0001785367,0.003506042,0.0001860815,0.00002966492,0.001329436,0.0002149766,0.9409493,0.03660586,0.003661927,0.000712091,0.01224022],"study_design_scores_gemma":[0.00003772187,0.0002222402,0.004046818,0.00001458854,0.00001744833,0.0002565811,0.0001176878,0.9880555,0.005758996,0.0005355699,0.0009072506,0.00002957403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483635,0.0002471997,0.02746483,0.0001871454,0.00007306178,0.00006146437,0.0002790685,0.0001688006,0.02315491],"genre_scores_gemma":[0.9974229,0.00003863887,0.001599403,0.000004934317,0.000004144984,0.00001061957,0.00003564692,0.000009293753,0.0008744647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003082142,"threshold_uncertainty_score":0.01031083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03688467955479136,"score_gpt":0.2446311406336785,"score_spread":0.2077464610788872,"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."}}