{"id":"W2945489119","doi":"10.1155/2019/5176410","title":"Characterization of Transport-Enhanced Phase Separation in Porous Media Using a Lattice-Boltzmann Method","year":2019,"lang":"en","type":"article","venue":"Geofluids","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Lattice Boltzmann methods; Clogging; Capillary action; Wetting; Porous medium; Saturation (graph theory); Materials science; Capillary number; Mechanics; Permeability (electromagnetism); Characterisation of pore space in soil; Convection; Mass transfer; Porosity; Chemistry; Membrane; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001965172,0.0002833812,0.0003171246,0.0002491997,0.000287614,0.0003808071,0.0005344282,0.0005033233,0.0009732692],"category_scores_gemma":[0.0007935707,0.0001761964,0.0002781585,0.0002348432,0.0005565022,0.0004074529,0.0003150186,0.0004181841,0.0001178587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004910778,"about_ca_system_score_gemma":0.001088504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008300151,"about_ca_topic_score_gemma":0.004031442,"domain_scores_codex":[0.9999229,0.0000140512,0.00000417322,0.00001011554,0.0000300235,0.00001869198],"domain_scores_gemma":[0.9997101,0.0001512669,0.00004447564,0.00002351322,0.00004471913,0.00002589034],"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":[0.00007576084,0.0001127486,0.002305022,0.00007502702,0.00002155931,0.00008851843,0.00005216201,0.9292583,0.05704633,0.007794445,0.00009751404,0.003072527],"study_design_scores_gemma":[0.000006938707,0.000008122149,0.0001193411,0.000001060432,9.899181e-7,0.000004520907,0.000003324497,0.9965395,0.002960336,0.0003007308,0.00005298822,0.000002205191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8200398,0.0001349193,0.1730522,0.0001948072,0.00003286498,0.0001014359,0.0003965307,0.0002936605,0.005753787],"genre_scores_gemma":[0.9651972,0.00007457319,0.03372124,0.00002189406,0.000004892563,0.00008506356,0.0001364416,0.00002885086,0.0007298308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008300151,"threshold_uncertainty_score":0.01650369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441199055154339,"score_gpt":0.3123698768481459,"score_spread":0.2879578862966025,"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."}}