{"id":"W4409187712","doi":"10.1016/j.cam.2025.116654","title":"Meshfree Phase-Field Modeling of Three-Phase Flow using Smoothed Particle Hydrodynamics with Differential Reproducing Kernels and Artificial Compressibility","year":2025,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; Compressibility; Smoothed-particle hydrodynamics; Phase (matter); Flow (mathematics); Field (mathematics); Particle (ecology); Mathematical analysis; Mechanics; Geometry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001444797,0.00009709015,0.0002431132,0.00008159348,0.00007369622,0.00004033821,0.00004728495,0.00003275269,0.000006470823],"category_scores_gemma":[0.00002219297,0.00008004397,0.00003414589,0.00009722406,0.00003428501,0.00009255773,0.00002107934,0.0001227934,7.646515e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002048719,"about_ca_system_score_gemma":0.0000267573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001764197,"about_ca_topic_score_gemma":0.000003946745,"domain_scores_codex":[0.9991645,0.000005695867,0.0005201051,0.00009084576,0.0001395363,0.00007930218],"domain_scores_gemma":[0.9994338,0.0001882225,0.0001288871,0.0000914417,0.0001216777,0.00003599684],"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":[0.00007414667,0.0002204052,0.00002398326,0.0001296057,0.00008844585,5.589815e-7,0.0002392141,0.9723524,0.01204314,0.01213687,0.000002696697,0.002688497],"study_design_scores_gemma":[0.0009401206,0.00005853542,0.00003445898,0.0001270291,0.00008707121,0.0000138599,0.00009263519,0.9509783,0.001092888,0.04650528,6.716827e-7,0.00006911056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5030171,0.00002376373,0.4967961,0.00001617209,0.00003082365,0.00005261203,0.000004750069,0.000007062351,0.00005154769],"genre_scores_gemma":[0.8952583,0.00000400085,0.1046893,0.000005148162,0.00002970588,0.000001078902,0.000002430621,0.000008441555,0.00000159124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3922412,"threshold_uncertainty_score":0.3264098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268592231456705,"score_gpt":0.284752348421487,"score_spread":0.2620664261069199,"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."}}