{"id":"W2032613837","doi":"10.1088/1742-6596/524/1/012033","title":"Investigation and Optimization of Blade Tip Winglets Using an Implicit Free Wake Vortex Method","year":2014,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Thrust; Wingtip device; Wake; Aerodynamics; Vortex; Aeroelasticity; Aerospace engineering; Tip clearance; Mechanics; Structural engineering; Rotor (electric); Turbine blade; Computer science; Turbine; Engineering; Mechanical engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004954413,0.0004843627,0.0005659175,0.0003195041,0.0002192806,0.0005331643,0.0005678842,0.0007362486,0.001159051],"category_scores_gemma":[0.001194181,0.0002781301,0.0003964399,0.0001987728,0.0004183649,0.0003525124,0.0004234407,0.0004410151,0.000267426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002313204,"about_ca_system_score_gemma":0.0008123085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001041839,"about_ca_topic_score_gemma":0.001110179,"domain_scores_codex":[0.9998547,0.00003292099,0.000005955218,0.00001281797,0.00006674622,0.00002686223],"domain_scores_gemma":[0.999607,0.0002022229,0.00004975945,0.00002926379,0.00008510894,0.00002664674],"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":[0.00005048632,0.00007142194,0.0009452901,0.000097043,0.00001429562,0.0001272609,0.00003946929,0.969681,0.01082572,0.004847627,0.0003689597,0.01293154],"study_design_scores_gemma":[0.00001017279,0.00004362446,0.0001407282,0.000004949197,0.000002225326,0.00001025877,0.000006575294,0.9975661,0.001470792,0.0003217511,0.0004201095,0.000002653416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3981858,0.0004682893,0.5812029,0.000277297,0.0001063955,0.0002455751,0.0002150857,0.0004560915,0.01884256],"genre_scores_gemma":[0.8013974,0.0002365701,0.1937518,0.00005913626,0.00002821234,0.00022618,0.0002026983,0.0001690603,0.003928999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001159051,"threshold_uncertainty_score":0.003877401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081211349483154,"score_gpt":0.2398049030999223,"score_spread":0.2189927896050908,"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."}}