{"id":"W2604696884","doi":"10.1103/physreve.95.033306","title":"Generalized three-dimensional lattice Boltzmann color-gradient method for immiscible two-phase pore-scale imbibition and drainage in porous media","year":2017,"lang":"en","type":"article","venue":"Physical review. E","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; National Supercomputing Center, Korea Institute of Science and Technology Information; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Lattice Boltzmann methods; Viscous fingering; Porous medium; Galilean invariance; Mechanics; Inflow; Conservation of mass; Capillary action; Surface tension; Fluid dynamics; Materials science; Physics; Geology; Classical mechanics; Porosity; Geotechnical engineering; Thermodynamics","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":[0.0005654029,0.0002626551,0.0006786024,0.00005965128,0.0002347787,0.0000625721,0.0001750868,0.00004211614,0.00001127848],"category_scores_gemma":[0.0003399295,0.000230819,0.0001378213,0.0001049012,0.00009273829,0.0002947323,0.0001211714,0.0001559729,0.00001998947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006699242,"about_ca_system_score_gemma":0.00001475744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000569424,"about_ca_topic_score_gemma":0.0002197791,"domain_scores_codex":[0.9985801,0.00005772305,0.0003907148,0.0003677615,0.000252597,0.0003511109],"domain_scores_gemma":[0.9987036,0.000476515,0.0001408395,0.000445918,0.0001044472,0.0001286938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001542566,0.005202898,0.004383942,0.02272386,0.001908789,0.0004430594,0.007802777,0.07170725,0.1178257,0.3898486,0.03814819,0.3384624],"study_design_scores_gemma":[0.008559405,0.0001898036,0.01293034,0.001247418,0.0004960412,0.00001601182,0.00002988079,0.8797674,0.002751934,0.08194019,0.0111501,0.0009215366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731992,0.01289685,0.007775618,0.001456961,0.0003656808,0.001733245,0.0001061899,0.0001870379,0.002279253],"genre_scores_gemma":[0.979585,0.0007476328,0.0184199,0.0003823302,0.0003556966,0.0003172616,0.00008158718,0.0000618901,0.00004869408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8080601,"threshold_uncertainty_score":0.9412526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03381915406411443,"score_gpt":0.3720038511925752,"score_spread":0.3381846971284607,"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."}}