{"id":"W1996070308","doi":"10.1115/gt2011-46757","title":"Optimization of an Axial Turbine Stage for Aerodynamic Inlet Blockage","year":2011,"lang":"en","type":"article","venue":"","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Rotor (electric); Aerodynamics; Turbine; Control theory (sociology); Turbine blade; Structural engineering; von Mises yield criterion; Genetic algorithm; Engineering; Computer science; Mechanical engineering; Mathematics; Finite element method; Mathematical optimization; Aerospace 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":[0.00006338287,0.00009164072,0.0001039359,0.00007716487,0.00002337202,0.000006747426,0.00008206331,0.000057612,0.000296351],"category_scores_gemma":[0.000005443189,0.00008361623,0.00002839132,0.00009665936,0.00001203009,0.0003063953,0.000008367344,0.00003911246,0.000002800061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001378479,"about_ca_system_score_gemma":0.000006039818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001596995,"about_ca_topic_score_gemma":0.00005782967,"domain_scores_codex":[0.9995583,0.000005106591,0.0001742158,0.00008658461,0.00005688134,0.0001189218],"domain_scores_gemma":[0.9997494,0.000006466212,0.00002764209,0.0001452369,0.00003800721,0.00003325995],"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":[0.0000253535,0.00002218858,0.0002399291,0.00004655253,0.00001041856,2.371193e-7,0.000261369,0.9971144,0.0009773007,0.0002225986,0.00005521719,0.001024411],"study_design_scores_gemma":[0.0003972086,0.0001024555,0.001106813,0.000004587316,0.00001040609,7.488279e-7,0.00002872009,0.9882816,0.009862211,0.00001594201,0.00008231743,0.0001069648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.510675,0.00001377415,0.485171,0.000002203842,0.0001492371,0.0001784335,0.00002309847,0.0001884223,0.003598841],"genre_scores_gemma":[0.8948414,0.00002010293,0.1045617,0.00001415621,0.00004490202,0.00001481181,0.0001495179,0.00002673735,0.0003266833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3841664,"threshold_uncertainty_score":0.3409771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244927069566142,"score_gpt":0.2074235244432155,"score_spread":0.1949742537475541,"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."}}