{"id":"W2115686046","doi":"10.1139/l10-009","title":"Two-equation turbulence modeling of an oscillatory boundary layer under steep pressure gradient","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Turbulence; Turbulence kinetic energy; Reynolds stress; Reynolds stress equation model; Mechanics; Reynolds number; Boundary layer; K-epsilon turbulence model; Pressure gradient; Turbulence modeling; Reynolds-averaged Navier–Stokes equations; Kinetic energy; Physics; Shear stress; K-omega turbulence model; Statistical physics; Classical mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003170454,0.0006611887,0.000636365,0.0003733827,0.00032228,0.0009334224,0.0008585733,0.0008138174,0.0005837095],"category_scores_gemma":[0.0007537205,0.0003250935,0.0008349848,0.0003267294,0.0003708563,0.0006767326,0.0005705307,0.0006137275,0.0001248127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004905632,"about_ca_system_score_gemma":0.0005103778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086477,"about_ca_topic_score_gemma":0.004328108,"domain_scores_codex":[0.9998505,0.0000298387,0.00001816974,0.00002219775,0.00004397515,0.00003536699],"domain_scores_gemma":[0.9996973,0.00009725113,0.0000565185,0.00003424988,0.0000756392,0.00003904419],"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":[0.0002400467,0.0002147547,0.01176693,0.00006725541,0.00004319536,0.0002418549,0.0001237944,0.9555988,0.02302034,0.002270629,0.0001892614,0.006223232],"study_design_scores_gemma":[0.00001445782,0.0000283251,0.0008999659,0.00000182209,0.000004160961,0.000009227236,0.000007508504,0.9979864,0.0009196792,0.00007243146,0.00005073649,0.000005359018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693173,0.0001204988,0.02812042,0.00006816668,0.00003521948,0.00004538325,0.00009201918,0.0001373959,0.002063599],"genre_scores_gemma":[0.9937284,0.00007720049,0.005337991,0.000009656887,0.000004275139,0.00002334513,0.00009119824,0.00001270285,0.0007151825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01086477,"threshold_uncertainty_score":0.02160305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008992814256684935,"score_gpt":0.1868788188216486,"score_spread":0.1778860045649636,"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."}}