{"id":"W2130710085","doi":"10.1002/we.472","title":"Computational fluid dynamics simulation of the aerodynamics of a high solidity, small‐scale vertical axis wind turbine","year":2011,"lang":"en","type":"article","venue":"Wind Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Sandia National Laboratories; University of Waterloo; Ontario Centres of Excellence","keywords":"Solidity; Stall (fluid mechanics); Airfoil; Aerodynamics; Turbine; Mechanics; Computational fluid dynamics; Vertical axis wind turbine; Tip-speed ratio; Vortex; Blade element momentum theory; Turbine blade; Vortex shedding; Reynolds number; Rotational speed; Physics; Aerospace engineering; Engineering; Computer science; Classical mechanics; Turbulence","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":[0.0003085824,0.0002982896,0.0004282613,0.0002549814,0.0006093172,0.0006472258,0.0004238233,0.0006570391,0.001275251],"category_scores_gemma":[0.000705167,0.0002347537,0.0003213587,0.000231333,0.0008134592,0.0002943717,0.0003309137,0.0003854932,0.0001323925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005792321,"about_ca_system_score_gemma":0.0009360406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009035927,"about_ca_topic_score_gemma":0.005211879,"domain_scores_codex":[0.999894,0.00003158204,0.000004684458,0.00001393153,0.0000305862,0.00002512701],"domain_scores_gemma":[0.9996725,0.000169966,0.00003321683,0.00002356914,0.00004798749,0.00005268048],"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":[0.0001514984,0.000128224,0.003801257,0.00002634515,0.00001584272,0.0003542642,0.00008345274,0.9769483,0.01504735,0.001153605,0.0002639441,0.002026103],"study_design_scores_gemma":[0.00005940834,0.000104382,0.001997662,0.000002395524,0.000004242745,0.00001985534,0.00002751425,0.9954104,0.002039068,0.0001332836,0.0001955517,0.000006221266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935526,0.00002004967,0.004083092,0.00005301483,0.00001167484,0.00002809248,0.00006692984,0.00005010409,0.002134446],"genre_scores_gemma":[0.9974465,0.00001267431,0.001990521,0.00000819664,0.000001977639,0.00001606649,0.00005689601,0.000006434733,0.0004606514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009035927,"threshold_uncertainty_score":0.01796663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466034752393039,"score_gpt":0.2021495594741988,"score_spread":0.1874892119502684,"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."}}