{"id":"W1977818656","doi":"10.1007/s11630-013-0660-8","title":"Performance improvements of a subsonic axial-flow compressor by means of a non-axisymmetric stator hub end-wall","year":2013,"lang":"en","type":"article","venue":"Journal of Thermal Science","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Illinois Nutrient Research and Education Council; Pratt and Whitney Canada","keywords":"Rotational symmetry; Stator; Axial compressor; Gas compressor; Secondary flow; Mechanics; Computational fluid dynamics; Flow (mathematics); Reynolds-averaged Navier–Stokes equations; Materials science; Physics; Aerospace engineering; Mechanical engineering; Engineering; Turbulence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004456453,0.000116188,0.0002351311,0.0002864529,0.0000562135,0.00002999927,0.0005270619,0.00003593038,0.0001733481],"category_scores_gemma":[0.00002224201,0.00008801898,0.00006750417,0.000729064,0.0001321854,0.001233871,0.00004242215,0.0001549455,0.000006904011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007253399,"about_ca_system_score_gemma":0.00007207504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000420295,"about_ca_topic_score_gemma":0.000001542253,"domain_scores_codex":[0.9985793,0.00001049516,0.000501094,0.00008753369,0.0005544379,0.0002671935],"domain_scores_gemma":[0.999136,0.00002352382,0.0003316991,0.0001505494,0.0002528663,0.0001053205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002793685,0.00008542781,0.0132157,0.0001270022,0.00003267399,6.23565e-7,0.0005262321,0.3154308,0.6219564,0.000001612558,0.0003995189,0.04819603],"study_design_scores_gemma":[0.0005095078,0.0002919714,0.09428091,0.00005190366,0.00001385474,0.000005642376,0.00002580819,0.7819752,0.1226484,0.000002636532,0.00009334739,0.0001008564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971835,0.0002433305,0.001409232,0.0000177055,0.0002534405,0.0001217288,0.000007731913,0.000009293833,0.0007540155],"genre_scores_gemma":[0.9968319,0.0002541683,0.002808289,0.00002211134,0.00003716311,0.000002695705,7.894802e-7,0.00001131579,0.00003159171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.499308,"threshold_uncertainty_score":0.358931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004693999607496223,"score_gpt":0.2001517352827253,"score_spread":0.1954577356752291,"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."}}