{"id":"W2327626347","doi":"10.1115/gt2007-27017","title":"Reynolds Analog in Combustor Modeling","year":2007,"lang":"en","type":"article","venue":"","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Prandtl number; Turbulence; Turbulent Prandtl number; Reynolds-averaged Navier–Stokes equations; Combustor; Schmidt number; Mechanics; Reynolds number; Scalar (mathematics); Physics; Combustion; Statistical physics; Thermodynamics; Classical mechanics; Mathematics; Heat transfer; Nusselt number; Chemistry; Geometry","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":[0.0001440942,0.00005300063,0.00006188118,0.0001159635,0.000009623806,0.000006985928,0.00005023388,0.00004641983,0.00007096778],"category_scores_gemma":[0.000005794784,0.00005543216,0.00001799686,0.000160714,0.000004577857,0.00004056433,0.000008873581,0.0001013496,0.00003201796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000590883,"about_ca_system_score_gemma":0.00000279318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002498125,"about_ca_topic_score_gemma":0.0006020619,"domain_scores_codex":[0.9996144,0.000002092628,0.0001305244,0.00005728508,0.00005114414,0.0001445563],"domain_scores_gemma":[0.9998489,0.00001255541,0.000003255908,0.00008921455,0.00001024647,0.000035839],"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":[0.000003159294,0.0000098832,0.001844467,0.000008729794,0.000003222593,0.000009117555,0.00009235027,0.985549,0.0003744797,0.004635138,0.0002306199,0.007239798],"study_design_scores_gemma":[0.0001350047,0.00000250292,0.001287302,0.000005108609,9.449087e-7,0.000001550083,0.00007722799,0.9977711,0.0000485013,0.0001289162,0.000467139,0.00007469937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5123749,0.00003897153,0.4454225,0.00001795317,0.0001502996,0.00003052151,3.808582e-7,0.0002148702,0.04174968],"genre_scores_gemma":[0.9977807,0.00001780214,0.001810125,0.00004881407,0.00002082935,6.510933e-7,0.000003186236,0.00001044433,0.0003073906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4854059,"threshold_uncertainty_score":0.2260458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007973065041029256,"score_gpt":0.2055606748239127,"score_spread":0.1975876097828835,"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."}}