{"id":"W3115834176","doi":"10.1016/j.jnnfm.2020.104465","title":"Sedimentation behavior of a spherical particle in a Giesekus fluid: A CFD–DEM solution","year":2020,"lang":"en","type":"article","venue":"Journal of Non-Newtonian Fluid Mechanics","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; American Chemical Society Petroleum Research Fund","keywords":"Mechanics; Weissenberg number; Viscoelasticity; Physics; Wake; Particle (ecology); Direct numerical simulation; Advection; Shear thinning; Newtonian fluid; Materials science; Classical mechanics; Rheology; Reynolds number; Turbulence; Geology; Thermodynamics","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":[0.000313856,0.0005068813,0.0005360355,0.0008531843,0.000875373,0.0007547699,0.0008430061,0.003035308,0.00292354],"category_scores_gemma":[0.001329822,0.0003456542,0.0009105686,0.0004961738,0.0008933899,0.0006191101,0.0007958376,0.0007351492,0.0004507118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009305621,"about_ca_system_score_gemma":0.001295255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02821138,"about_ca_topic_score_gemma":0.01120722,"domain_scores_codex":[0.9998938,0.00001826946,0.000008030567,0.00002943331,0.00002451953,0.00002598809],"domain_scores_gemma":[0.999595,0.0001555724,0.00004635417,0.00002795361,0.0001255023,0.000049719],"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":[0.0001538597,0.0001445453,0.006346192,0.000143526,0.0000473383,0.001474134,0.0002032477,0.956438,0.01118923,0.00962784,0.002708602,0.01152345],"study_design_scores_gemma":[0.00001880161,0.00001643922,0.00102264,0.000009533412,0.000006609562,0.00006188834,0.00003918171,0.9967288,0.001062458,0.0003878723,0.0006338832,0.00001186218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8450674,0.001008004,0.09329238,0.001918141,0.0006431453,0.0001889413,0.0009824027,0.0008252964,0.05607436],"genre_scores_gemma":[0.9673172,0.0002535395,0.02110868,0.0001793018,0.0001088511,0.00004013474,0.0004368461,0.0001060543,0.0104493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02821138,"threshold_uncertainty_score":0.05609435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706801164355098,"score_gpt":0.2531821892838256,"score_spread":0.2361141776402746,"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."}}