{"id":"W2188851259","doi":"10.1080/19942060.2015.1104267","title":"Parameter determination for the Cross rheology equation and its application to modeling non-Newtonian flows using the WC-MPS method","year":2015,"lang":"en","type":"article","venue":"Engineering Applications of Computational Fluid Mechanics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rheology; Newtonian fluid; Mechanics; Non-Newtonian fluid; Compressibility; Smoothed-particle hydrodynamics; Particle (ecology); Flow (mathematics); Generalized Newtonian fluid; Materials science; Computer science; Classical mechanics; Physics; Geology; 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":[0.0006511422,0.000495646,0.0003256612,0.000563421,0.0002540779,0.0005177603,0.0008519689,0.0008037412,0.001629475],"category_scores_gemma":[0.001961892,0.0002845752,0.0005174315,0.0003150066,0.0003210464,0.0006836206,0.0005834211,0.0009246622,0.0003402448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003035387,"about_ca_system_score_gemma":0.001210271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003736483,"about_ca_topic_score_gemma":0.001865247,"domain_scores_codex":[0.9998046,0.00003520296,0.00001883151,0.00003755121,0.00008517888,0.00001863321],"domain_scores_gemma":[0.9994825,0.0001971412,0.00007181652,0.00005061161,0.0001814218,0.0000164562],"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":[0.00005622031,0.0001187413,0.003843984,0.0002419045,0.00002900771,0.0004407521,0.0002277472,0.7982385,0.08455089,0.04811255,0.001069071,0.06307057],"study_design_scores_gemma":[0.000002832717,0.000007228487,0.0001752203,0.00000409854,0.000002224588,0.00002213299,0.000006104,0.9958248,0.003028353,0.0003337779,0.000589159,0.000004079623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04824397,0.0002231797,0.9468535,0.00009880529,0.0000504105,0.0001179634,0.00008837704,0.0002454009,0.004078314],"genre_scores_gemma":[0.6248204,0.0004888103,0.3677711,0.00006435915,0.00004483995,0.0005830476,0.0002136132,0.0002316615,0.005782138],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003736483,"threshold_uncertainty_score":0.007429481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02776592208724384,"score_gpt":0.310308020087639,"score_spread":0.2825420980003951,"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."}}