{"id":"W2898514050","doi":"10.1115/fedsm2018-83013","title":"Simulation of Incompressible Multiphase Flows Using the Artificial Compressibility Method","year":2018,"lang":"en","type":"article","venue":"","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Volume of fluid method; Compressibility; Mechanics; Multiphase flow; Spurious relationship; Eulerian path; Dissipation; Incompressible flow; Computer simulation; Flow (mathematics); Finite volume method; Computer science; Physics; Classical mechanics; Mathematics; Applied mathematics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003021222,0.0003694693,0.00033582,0.0004456672,0.0004134394,0.0004162901,0.0004920409,0.0004698462,0.0007765508],"category_scores_gemma":[0.0008559186,0.0001784184,0.0003224826,0.0003159416,0.0004267466,0.0006025453,0.0005271112,0.0004383954,0.00009383812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002472383,"about_ca_system_score_gemma":0.000571961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002059754,"about_ca_topic_score_gemma":0.001060914,"domain_scores_codex":[0.9998272,0.00005390299,0.00001087052,0.0000148017,0.00007711246,0.00001616351],"domain_scores_gemma":[0.9997342,0.0001268617,0.00004061517,0.00003669649,0.00004106752,0.00002044925],"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":[0.00008877876,0.00007160503,0.0021195,0.0001146584,0.0000253933,0.0001670186,0.0001416827,0.907863,0.03006289,0.03208775,0.0005843895,0.02667338],"study_design_scores_gemma":[0.000005118059,0.000009330048,0.0001008161,0.000001812693,0.000001277134,0.00001248802,0.000002488659,0.9967098,0.001791804,0.0007716712,0.0005905211,0.000002876304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.193069,0.0003619344,0.7971581,0.0001937989,0.0001140198,0.0001244709,0.0001402533,0.0008253044,0.008013104],"genre_scores_gemma":[0.8104461,0.0001964062,0.1872131,0.00003009632,0.00002434904,0.0001536291,0.000115617,0.00005871212,0.001762029],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002059754,"threshold_uncertainty_score":0.004095554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372883205107984,"score_gpt":0.330891204407596,"score_spread":0.2971623723565161,"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."}}