{"id":"W3187384038","doi":"10.3390/computation9080085","title":"Response of Viscoelastic Turbulent Pipeflow Past Square Bar Roughness: The Effect on Mean Flow","year":2021,"lang":"en","type":"article","venue":"Computation","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund; Alberta Innovates","keywords":"Viscoelasticity; Newtonian fluid; Materials science; Bar (unit); Drag; Rheology; Mechanics; Surface roughness; Turbulence; Surface finish; Deborah number; Reynolds number; Non-Newtonian fluid; Flow (mathematics); Composite material; Physics; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002382128,0.0001141148,0.0001712698,0.00003218797,0.00008943714,0.00000901612,0.00007702015,0.00006098222,0.00001675633],"category_scores_gemma":[0.0003155862,0.00008374338,0.00007140832,0.0001392523,0.000051223,0.00002847114,0.00004562019,0.0001403989,0.00003821872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004029152,"about_ca_system_score_gemma":0.00001337994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001519126,"about_ca_topic_score_gemma":0.000001370855,"domain_scores_codex":[0.9991903,0.0002019535,0.000176223,0.0001682532,0.000137104,0.0001261767],"domain_scores_gemma":[0.9983813,0.001318904,0.00004305351,0.0001533865,0.00008091042,0.00002240915],"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":[0.0005241588,0.00004630362,0.0005746182,0.00008821235,0.00008755324,0.00002879587,0.001177307,0.9732187,0.01971134,0.001403608,0.0003224774,0.002816913],"study_design_scores_gemma":[0.0004833862,0.0002107842,0.007831519,0.00009474243,0.00003159955,0.00001055207,0.00006994537,0.9809886,0.01001676,0.0001412313,0.00002992559,0.00009101764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.617425,0.0002039482,0.3813057,0.0005569429,0.0002224893,0.00008802678,0.000004257705,0.00004579437,0.0001478524],"genre_scores_gemma":[0.998762,0.000004514112,0.0008522078,0.00007023232,0.00006029423,0.00001406625,0.00002905643,0.00001300801,0.0001945981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.381337,"threshold_uncertainty_score":0.3414956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00734756717109976,"score_gpt":0.2340862188075011,"score_spread":0.2267386516364013,"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."}}