{"id":"W2025789108","doi":"10.1080/17415970500354235","title":"An inverse blade design method for subsonic and transonic viscous flow in compressors and turbines","year":2006,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Reynolds-averaged Navier–Stokes equations; Inviscid flow; Turbomachinery; Transonic; Turbine blade; Finite volume method; Mathematics; Turbulence; Mechanics; Euler equations; Turbine; Aerodynamics; Physics; Mathematical analysis; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000687952,0.0001549558,0.0001681378,0.0003214577,0.000058039,0.00009783017,0.0001065949,0.00005456109,5.47359e-7],"category_scores_gemma":[0.00002205691,0.0001655288,0.00001237856,0.000422695,0.0001121146,0.0004146039,0.00002241541,0.0001199919,1.48036e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000759418,"about_ca_system_score_gemma":0.00002894279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001645341,"about_ca_topic_score_gemma":0.0005727567,"domain_scores_codex":[0.9990533,0.00001024169,0.0002076188,0.0002815774,0.0001324877,0.0003147948],"domain_scores_gemma":[0.9996902,0.000102645,0.00001263702,0.00008439404,0.00003168373,0.00007838375],"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":[0.000002495189,0.000009321285,0.000475505,0.0001035203,0.000002237027,0.000002449656,0.0004180289,0.9689987,0.02740182,0.0008481569,0.000003287792,0.001734488],"study_design_scores_gemma":[0.0004942549,0.00002804824,0.004795727,0.00006648868,0.000004817615,0.00001201273,0.00004251484,0.9920854,0.0002009045,0.002038004,0.00003142934,0.0002004187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6755524,0.0002972257,0.3237533,0.00002638662,0.0000734929,0.0002265902,0.000005449892,0.00005310432,0.00001207275],"genre_scores_gemma":[0.8808132,0.0001456543,0.1189553,0.00001288993,0.00001682062,0.00003230348,0.000003235648,0.00001811414,0.000002469865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2052608,"threshold_uncertainty_score":0.6750067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011032200515993,"score_gpt":0.2301083026166953,"score_spread":0.2190761021007023,"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."}}