{"id":"W4403243192","doi":"10.1115/1.4066811","title":"Multifidelity Aeromechanical Design Framework for High Flow Speed Multistage Axial Compressors","year":2024,"lang":"en","type":"article","venue":"Journal of Turbomachinery","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Axial compressor; Gas compressor; Computer science; High fidelity; Fidelity; Flow (mathematics); Mechanics; Mechanical engineering; Engineering; Physics; Electrical engineering; Telecommunications","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":[0.001844924,0.001044976,0.0008483709,0.0008234543,0.0005623917,0.001121951,0.001092646,0.001434788,0.003003672],"category_scores_gemma":[0.001898024,0.000585396,0.0008951754,0.0003622765,0.0009268284,0.0003911533,0.001346929,0.001070831,0.0003638926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069835,"about_ca_system_score_gemma":0.001480306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004624465,"about_ca_topic_score_gemma":0.003429035,"domain_scores_codex":[0.9993944,0.0002269989,0.00002086798,0.00004993377,0.0002530331,0.00005469558],"domain_scores_gemma":[0.999486,0.0002656307,0.00006399149,0.00003082048,0.000126299,0.00002732875],"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":[0.00001247159,0.00001467504,0.0001734308,0.00003481885,0.000005492388,0.00003213079,0.00002211618,0.9883919,0.001095535,0.006955511,0.00006543202,0.003196386],"study_design_scores_gemma":[0.00000402736,0.00002025392,0.0000399577,0.000007527875,0.000002012161,0.000005966101,0.000006450321,0.997832,0.0002690066,0.001210716,0.0005996728,0.000002383389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01677456,0.0002428107,0.975132,0.0001580121,0.0000248192,0.0001340856,0.0000706568,0.0001512603,0.00731178],"genre_scores_gemma":[0.7108282,0.0004519451,0.2802332,0.00008623196,0.00004239435,0.0007561549,0.0002302488,0.0001629327,0.0072087],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004624465,"threshold_uncertainty_score":0.01004821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013931625106374,"score_gpt":0.2643606786725819,"score_spread":0.2442213624215182,"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."}}