{"id":"W2995078246","doi":"10.1016/j.compgeo.2019.103370","title":"A locally and globally phase-wise mass conservative numerical algorithm for the two-phase immiscible flow problems in porous media","year":2019,"lang":"en","type":"article","venue":"Computers and Geotechnics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Discretization; Conservation of mass; Mathematics; Saturation (graph theory); Conservation law; Finite element method; Porous medium; Flow (mathematics); Relative permeability; Two-phase flow; Applied mathematics; Mathematical optimization; Mathematical analysis; Mechanics; Porosity; Geometry; Physics; Geology; Geotechnical engineering; 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":[0.0006942215,0.0005818512,0.0007739651,0.0004700175,0.0006511041,0.0006103215,0.001472408,0.001296782,0.001850168],"category_scores_gemma":[0.001446927,0.0003227936,0.0004640339,0.0003847583,0.0008710594,0.0007344462,0.001726133,0.00109278,0.0004929056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004492163,"about_ca_system_score_gemma":0.001337612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001546215,"about_ca_topic_score_gemma":0.002247903,"domain_scores_codex":[0.9997922,0.00003950309,0.00001157063,0.00002868908,0.0001101156,0.00001794018],"domain_scores_gemma":[0.9995821,0.0001459633,0.00003680996,0.00004614046,0.0001449137,0.00004406038],"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":[0.0003195653,0.0002487132,0.001454406,0.0002649688,0.00007324776,0.0002565334,0.0003781015,0.5923612,0.05868136,0.0775729,0.003623144,0.2647659],"study_design_scores_gemma":[0.00002752196,0.00006422481,0.00009160095,0.000006523227,0.000006838499,0.00003019968,0.000009919061,0.9924349,0.00196138,0.003991192,0.001365351,0.00001030045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01326757,0.00007563915,0.9841489,0.0001224981,0.00008678772,0.00005678958,0.00001728778,0.0002889423,0.001935586],"genre_scores_gemma":[0.1816179,0.0001233039,0.8112594,0.0001611711,0.00005563088,0.000320849,0.000100408,0.0002138486,0.006147542],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001850168,"threshold_uncertainty_score":0.006189406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836551671770281,"score_gpt":0.2965600132538354,"score_spread":0.2781944965361326,"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."}}