{"id":"W2525636394","doi":"10.1088/1742-6596/753/2/022045","title":"The Effect of Aerodynamic Evaluators on the Multi-Objective Optimization of Flatback Airfoils","year":2016,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Airfoil; Aerodynamics; Aerospace engineering; Aerodynamic center; Leading edge; Drag; Lift-to-drag ratio; Lift (data mining); Stall (fluid mechanics); Structural engineering; Wind tunnel; Angle of attack; Marine engineering; Mechanics; Materials science; Engineering; Pitching moment; Computer science; 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":[0.0009522357,0.000988377,0.0005650508,0.0005416165,0.0002938201,0.0006170206,0.0003152667,0.0005646341,0.0004171215],"category_scores_gemma":[0.001788436,0.0002936518,0.0004590523,0.0002526204,0.0003451372,0.0002922397,0.0003506214,0.0003811554,0.00005367047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003057445,"about_ca_system_score_gemma":0.0004631661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0018075,"about_ca_topic_score_gemma":0.002258444,"domain_scores_codex":[0.9997248,0.0001075059,0.00001332642,0.00002922607,0.00007158268,0.00005351197],"domain_scores_gemma":[0.9993271,0.0004155735,0.00009892483,0.00002563054,0.00009584731,0.00003703565],"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":[0.0001384415,0.0001197657,0.001389329,0.00007716587,0.00003142539,0.00009462065,0.00003070573,0.9743125,0.01499767,0.0002329752,0.00005185253,0.008523362],"study_design_scores_gemma":[0.00002803511,0.0005352139,0.002404596,0.00001763753,0.00003163067,0.00002798623,0.00005210174,0.9841737,0.01244718,0.000120752,0.0001474394,0.00001371703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671173,0.00031792,0.03063117,0.00005282008,0.00001487289,0.00003898171,0.00002774957,0.00006440712,0.001734816],"genre_scores_gemma":[0.9858483,0.00008415928,0.01362482,0.00002103521,0.000002382818,0.00003268328,0.00002912294,0.00001477408,0.0003426636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0018075,"threshold_uncertainty_score":0.005035937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316800737229321,"score_gpt":0.2385079949487278,"score_spread":0.2253399875764346,"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."}}