{"id":"W2087525495","doi":"10.1115/gt2006-90018","title":"Measurements and Computations of Compressible Flow Through a Turbine Cascade With Surface Roughness","year":2006,"lang":"en","type":"article","venue":"","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mach number; Surface roughness; Mechanics; Turbulence; Surface finish; Computational fluid dynamics; Compressible flow; Cascade; Flow (mathematics); Roughness length; Compressibility; Turbine blade; Computation; Fluent; Turbine; Materials science; Physics; Mechanical engineering; Engineering; Computer science; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004080919,0.0005512118,0.0005593544,0.0005250396,0.0008689599,0.0003322423,0.0004747495,0.0005327386,0.0007402319],"category_scores_gemma":[0.001130114,0.0002590068,0.0002950044,0.000499101,0.0006986544,0.0005015076,0.000288768,0.000485613,0.0001056969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005707581,"about_ca_system_score_gemma":0.0004061388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006317178,"about_ca_topic_score_gemma":0.00553062,"domain_scores_codex":[0.999669,0.00002808515,0.00001628628,0.0000491403,0.000177902,0.00005955755],"domain_scores_gemma":[0.9995359,0.000203233,0.00004591368,0.00006135381,0.00009983381,0.00005377727],"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":[0.0009189213,0.0004589032,0.03526084,0.0001373513,0.00003044912,0.001023827,0.0005439019,0.0947518,0.8489711,0.0007785445,0.0003989291,0.0167254],"study_design_scores_gemma":[0.0002415194,0.003198134,0.1538851,0.00002433696,0.00005128771,0.000669788,0.0003888984,0.5487173,0.2912402,0.0003848509,0.001068311,0.0001304213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979094,0.00002494099,0.001504907,0.00001893562,0.000002986525,0.00002579322,0.0000867044,0.00006115707,0.0003652328],"genre_scores_gemma":[0.9974885,0.00002535744,0.0022412,0.000003415229,0.000001832015,0.00001218489,0.0001044944,0.000005195569,0.0001177956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006317178,"threshold_uncertainty_score":0.01256078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388698748726901,"score_gpt":0.2095354888482624,"score_spread":0.1956485013609934,"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."}}