{"id":"W2049046375","doi":"10.2514/1.27740","title":"Aerodynamic Inverse Design for Viscous Flow in Turbomachinery Blading","year":2007,"lang":"en","type":"article","venue":"Journal of Propulsion and Power","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Turbomachinery; Aerodynamics; Transonic; Blade element momentum theory; Mechanics; Blade element theory; Airfoil; Turbine blade; Reynolds-averaged Navier–Stokes equations; Finite volume method; Turbine; Computational fluid dynamics; Engineering; Mechanical engineering; Physics","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":[0.0005223197,0.0004614198,0.0004997213,0.0002742363,0.0003383519,0.0005224028,0.0005720344,0.0004744701,0.00133754],"category_scores_gemma":[0.0008175747,0.0003518191,0.0003829463,0.000127704,0.0005583586,0.0004095792,0.000430703,0.0007417812,0.0004110622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004200243,"about_ca_system_score_gemma":0.0006765517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001059962,"about_ca_topic_score_gemma":0.001190843,"domain_scores_codex":[0.9997231,0.00006295861,0.000008037487,0.00002173136,0.0001682814,0.00001590999],"domain_scores_gemma":[0.9997512,0.00007606357,0.00004002203,0.00003667063,0.00008396817,0.00001204823],"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":[0.0001444652,0.00009283492,0.0009591327,0.0002713976,0.00002596648,0.0001622705,0.0003846925,0.700133,0.1050172,0.04804867,0.001433949,0.1433265],"study_design_scores_gemma":[0.00001607439,0.00007273884,0.0001081778,0.000009574073,0.00000400427,0.00004403855,0.000009437397,0.9872005,0.006664928,0.001680847,0.004179915,0.00000971098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01181597,0.00009359852,0.9855665,0.00004032877,0.00002479563,0.00002651422,0.000006093416,0.0001854577,0.002240702],"genre_scores_gemma":[0.3787272,0.0001890721,0.614617,0.00005082715,0.00002174911,0.0001551396,0.00004206091,0.0001406869,0.006056237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00133754,"threshold_uncertainty_score":0.004474461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008389697751556992,"score_gpt":0.2342888094884481,"score_spread":0.2258991117368911,"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."}}