{"id":"W2108565800","doi":"10.1115/imece2014-39079","title":"Multi-Objective and Multi-Point Aerodynamic Optimization of Transonic Fan Blades","year":2014,"lang":"en","type":"article","venue":"","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Stall (fluid mechanics); Choke; Transonic; Aerodynamics; Operating point; Engineering; Control theory (sociology); Computer science; 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":[0.00007634305,0.0001108219,0.0001334444,0.00008434935,0.00003134348,0.00001262729,0.000046815,0.00006173834,0.00003942238],"category_scores_gemma":[0.00001072492,0.00009861944,0.00002653566,0.000102512,0.00002735923,0.0002213537,0.000007561861,0.00006790863,0.000003221885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001873975,"about_ca_system_score_gemma":0.000003811665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000222564,"about_ca_topic_score_gemma":0.0001263909,"domain_scores_codex":[0.999557,0.0000146578,0.0001647733,0.00009676706,0.00005060503,0.0001162539],"domain_scores_gemma":[0.9997958,0.00001838554,0.00002311811,0.0001004848,0.00002874166,0.00003346301],"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":[0.000004410201,0.00001829762,0.0008710394,0.00004598552,0.00001417208,5.771102e-8,0.0005252842,0.9919391,0.003680522,0.00003641652,0.000005626055,0.00285915],"study_design_scores_gemma":[0.0006522526,0.00003490616,0.01088968,0.00001541513,0.00001324467,0.000001742953,0.0000835065,0.9851185,0.003060897,0.000003382764,0.000008169487,0.0001183074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1829915,0.0000755233,0.8160435,0.00001077584,0.00006211701,0.0001098214,0.000003146633,0.0001444911,0.000559138],"genre_scores_gemma":[0.8886045,0.0001694228,0.111093,0.00001339515,0.00001363157,0.000006401975,0.00001557341,0.00002015039,0.0000639663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.705613,"threshold_uncertainty_score":0.4021584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005327395311584548,"score_gpt":0.1977220689891274,"score_spread":0.1923946736775429,"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."}}