{"id":"W2092539415","doi":"10.1115/gt2012-69708","title":"Numerical and Experimental Analysis of the Airflow Inside an A250 Diffuser Tube","year":2012,"lang":"en","type":"article","venue":"","topic":"Turbomachinery Performance and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Diffuser (optics); Mechanics; Inlet; Turbulence; Conical surface; Airflow; Shear stress; Flow (mathematics); Tube (container); Gas compressor; Materials science; Reynolds stress; Physics; Optics; Thermodynamics; Engineering; Mechanical 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":[0.00002808731,0.00005797979,0.00009090438,0.00005058489,0.00002473122,0.000007228586,0.00004410586,0.0000253399,0.0001453043],"category_scores_gemma":[0.000001668334,0.0000365284,0.00003477452,0.0002375827,0.00001409702,0.0002503463,0.00001470934,0.00003688729,0.000001891844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001009085,"about_ca_system_score_gemma":0.000001269097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002307313,"about_ca_topic_score_gemma":0.000008433236,"domain_scores_codex":[0.9997063,0.000008308823,0.00008507929,0.00004433441,0.00006391612,0.00009206052],"domain_scores_gemma":[0.999818,0.000006077749,0.000009203868,0.0001210064,0.000005070312,0.00004061912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006785261,0.0001082736,0.4935364,0.000009075179,0.000227801,9.464871e-8,0.00202325,0.4922054,0.01025563,0.000237231,0.0001522404,0.001237925],"study_design_scores_gemma":[0.00009018158,0.000009526694,0.333823,0.000001115334,0.00006839981,7.81729e-7,0.00008734661,0.6375711,0.02818471,0.00000101908,0.0001008931,0.00006190933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970351,0.0001823713,0.001053526,0.000008626627,0.00007668428,0.0000307622,0.000001088219,0.00004457618,0.001567241],"genre_scores_gemma":[0.9993279,0.000009144394,0.000526195,0.00005069915,0.00003053043,0.000002860574,0.000005490004,0.000007465676,0.00003969687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1597133,"threshold_uncertainty_score":0.159098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006551911551858699,"score_gpt":0.2166951193895536,"score_spread":0.2101432078376949,"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."}}