{"id":"W2102197191","doi":"10.1016/j.cma.2012.03.013","title":"MPS mesh-free particle method for multiphase flows","year":2012,"lang":"en","type":"article","venue":"Computer Methods in Applied Mechanics and Engineering","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":163,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hagen–Poiseuille equation; Multiphase flow; Mechanics; Viscosity; Compressibility; Work (physics); Flow (mathematics); Particle (ecology); Mathematics; Statistical physics; Physics; Thermodynamics; Geology","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":[0.0006980091,0.0001837072,0.0002283615,0.000128184,0.00004571268,0.00003808186,0.0001228063,0.00009120961,0.000007866176],"category_scores_gemma":[0.00003454584,0.0002005466,0.00005280087,0.0001792654,0.000002225704,0.0001138999,0.00008154022,0.0001706801,0.000001743189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005754044,"about_ca_system_score_gemma":0.000003390875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002207797,"about_ca_topic_score_gemma":0.00000154041,"domain_scores_codex":[0.9991061,0.00001794976,0.0002735639,0.0001660355,0.00005582474,0.0003804982],"domain_scores_gemma":[0.9991748,0.0003973767,0.00001680622,0.000266795,0.00001643458,0.0001278217],"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":[0.000004346724,0.00002528698,0.00000283467,0.00006494678,0.00002745279,2.311799e-7,0.0002397757,0.7253806,0.05296123,0.1558003,0.00005166803,0.06544132],"study_design_scores_gemma":[0.0005669831,0.00001383609,0.0000185845,0.00001600171,0.00001677192,0.000005065575,0.00001923213,0.986986,0.004424863,0.002231552,0.005475476,0.0002255954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00206037,0.0002910206,0.9959123,0.00001201281,0.001087027,0.0002851062,0.000009849278,0.0002195677,0.0001227935],"genre_scores_gemma":[0.06495728,0.00003526946,0.9345771,0.00002747172,0.0002004966,0.0001393202,0.00000606962,0.00005172257,0.000005272721],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2616054,"threshold_uncertainty_score":0.8178055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163030258542721,"score_gpt":0.3082553835362327,"score_spread":0.2866250809508055,"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."}}