{"id":"W7043717457","doi":"","title":"Two-Fluid Modeling of Dilute and Dense Liquid-Particle Flows","year":2024,"lang":"en","type":"article","venue":"University Library (University of Saskatchewan)","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbulence; Turbulence modeling; K-epsilon turbulence model; Context (archaeology); Solver; K-omega turbulence model; Multiphase flow; Flow (mathematics); Pipe flow","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002812398,0.0006065628,0.0006053229,0.0004955232,0.0005135848,0.001216317,0.0009200379,0.00136502,0.001123653],"category_scores_gemma":[0.0009170194,0.0003450059,0.0006532267,0.0004316879,0.0006534396,0.0009670911,0.0009795135,0.0007897128,0.000219666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007759173,"about_ca_system_score_gemma":0.001013462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007775642,"about_ca_topic_score_gemma":0.003403867,"domain_scores_codex":[0.9998354,0.00003407323,0.00001004916,0.00003206968,0.00006225376,0.00002622493],"domain_scores_gemma":[0.9998143,0.00008543093,0.00002531854,0.00002040678,0.0000334611,0.00002113961],"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":[0.00003149329,0.00006043401,0.001260637,0.00005104637,0.000009864037,0.0001389668,0.00007491375,0.9638631,0.01007386,0.01631559,0.0003029745,0.007817006],"study_design_scores_gemma":[0.000005894693,0.000008312834,0.0001484427,0.000003262187,0.00000133281,0.00001056854,0.000006606782,0.9973106,0.0009878475,0.0008236007,0.0006893094,0.00000418657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3720532,0.0009782084,0.5994629,0.0005781216,0.0002338785,0.0002445646,0.0004670961,0.0008020742,0.02518009],"genre_scores_gemma":[0.9281596,0.0005262455,0.06314669,0.0000724883,0.00004131416,0.0001757585,0.0003001317,0.00006155082,0.007516281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007775642,"threshold_uncertainty_score":0.01546073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007061086018945768,"score_gpt":0.1655404780097186,"score_spread":0.1584793919907728,"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."}}