{"id":"W2534498559","doi":"10.1115/omae2016-54379","title":"Characterization of Time-Averaged Turbulence Statistics for Shear Thinning Fluid in Horizontal Concentric Annulus Using RANS Based CFD Simulation","year":2016,"lang":"en","type":"article","venue":"","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbulence; Mechanics; Reynolds-averaged Navier–Stokes equations; Computational fluid dynamics; Annulus (botany); Shear thinning; Drag; Turbulence modeling; Physics; Shear stress; Materials science; Thermodynamics; Rheology; Composite material","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":[0.0002790169,0.000330409,0.0003731928,0.0003878873,0.0002143553,0.0003270142,0.0003705499,0.0003795633,0.0004266983],"category_scores_gemma":[0.0006121388,0.0001235045,0.0003575732,0.0002965627,0.000307165,0.0003150426,0.0001910079,0.0001994979,0.0001062071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002706001,"about_ca_system_score_gemma":0.0004020532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005319502,"about_ca_topic_score_gemma":0.002521785,"domain_scores_codex":[0.9998806,0.0000173589,0.00001414382,0.00002765017,0.00003715259,0.00002303019],"domain_scores_gemma":[0.999731,0.00008002875,0.00005325397,0.00004037995,0.00007740085,0.00001797942],"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":[0.000220089,0.000217681,0.01820932,0.00009878386,0.00002364287,0.0005306986,0.0002437144,0.7847458,0.1789934,0.001910854,0.0002963523,0.01450975],"study_design_scores_gemma":[0.000004494967,0.00006219726,0.00349047,0.000004089164,0.000004003706,0.00002882556,0.00002674655,0.9793099,0.01686266,0.00006120333,0.0001348855,0.00001055009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801294,0.0000583286,0.01835285,0.00001663621,0.000008959477,0.00002020583,0.0001614426,0.0002077674,0.001044315],"genre_scores_gemma":[0.9918689,0.00004535401,0.007676257,0.000004092553,0.000001832334,0.00001505275,0.0001201781,0.00001276623,0.000255743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005319502,"threshold_uncertainty_score":0.01057708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146337661570232,"score_gpt":0.2411225030621214,"score_spread":0.229659126446419,"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."}}