{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004926065,0.0001636443,0.0001534362,0.0001786554,0.0002007751,0.0000607733,0.0002236485,0.0000863328,0.000001536534],"category_scores_gemma":[0.0001457026,0.0001426324,0.00006004932,0.0003900295,0.00000930994,0.0001922685,0.00004738437,0.000122203,0.000004608381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241493,"about_ca_system_score_gemma":0.00004391581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001466558,"about_ca_topic_score_gemma":0.000004805231,"domain_scores_codex":[0.9989871,0.0000172094,0.0004190809,0.0002105643,0.0001914213,0.0001745992],"domain_scores_gemma":[0.9982747,0.0007436395,0.00005988523,0.0002672967,0.0005762051,0.0000783032],"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":[0.000005752067,0.00001122339,0.000001548845,0.00002788696,0.00002814218,1.67973e-8,0.00020087,0.949285,0.007565809,0.03960189,0.000008691564,0.003263212],"study_design_scores_gemma":[0.0002108675,0.00002497898,0.00001667068,0.00001256504,0.00004670851,0.000008764285,0.00005214533,0.9921058,0.0007214185,0.006271181,0.0003839259,0.00014492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02187137,0.0001834742,0.9760733,0.0001723383,0.0001967823,0.001350354,0.00004500216,0.00009725001,0.00001013978],"genre_scores_gemma":[0.6975767,0.000007958701,0.3014403,0.0000269835,0.00008184709,0.0007706478,0.00005334094,0.0000332499,0.000009024146],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6757053,"threshold_uncertainty_score":0.581638,"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."}}