{"id":"W2318353342","doi":"10.2514/6.2006-6933","title":"Global- and Local-Shape Aerodynamic Optimization of Turbine Blades","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bombardier (Canada); Concordia University","funders":"","keywords":"Aerodynamics; Turbine blade; Turbine; Computer science; Aerospace engineering; Mechanical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006588167,0.0007496353,0.000974397,0.0003801709,0.0005195123,0.000626719,0.0006524241,0.0008998219,0.002241206],"category_scores_gemma":[0.001139556,0.0004730194,0.0007153398,0.0003103607,0.0007884334,0.0005914919,0.0009519591,0.0004371823,0.0004807088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004883456,"about_ca_system_score_gemma":0.000656457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279909,"about_ca_topic_score_gemma":0.003223028,"domain_scores_codex":[0.9998527,0.00005072977,0.00000446015,0.00002497129,0.00003802961,0.00002923315],"domain_scores_gemma":[0.9996693,0.0001071431,0.00004621808,0.00003437575,0.00008535932,0.00005760777],"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":[0.00005826947,0.0000149122,0.0003044551,0.00002130138,0.000008108819,0.00002441095,0.00001272493,0.9915906,0.001899682,0.001042106,0.0002134651,0.00480987],"study_design_scores_gemma":[0.00001334539,0.00005361881,0.0003186998,0.000002730063,0.000004204394,0.00001184675,0.0000174246,0.9973989,0.0006727146,0.001325213,0.000176686,0.000004748164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3900576,0.0005360027,0.5866767,0.0003736069,0.0001181765,0.00008250372,0.0001589801,0.0004217555,0.0215746],"genre_scores_gemma":[0.9623791,0.0001006578,0.03300484,0.00004512214,0.00003189889,0.00005428886,0.00008345853,0.0001733082,0.004127341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002241206,"threshold_uncertainty_score":0.007497549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006177246520566755,"score_gpt":0.2358897674876532,"score_spread":0.2297125209670864,"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."}}