{"id":"W4298143972","doi":"10.1002/cjce.24690","title":"Numerical simulation of fine particle liquid–solid flow in porous media based on LBM‐IBM‐DEM","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Porous medium; Lattice Boltzmann methods; Discrete element method; Materials science; Mechanics; Porosity; Multiphase flow; Particle (ecology); Geology; Composite material; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003588794,0.0004222854,0.0007928938,0.0005218014,0.0006194749,0.0006275184,0.0009130111,0.001178785,0.001550556],"category_scores_gemma":[0.0007486905,0.0003115049,0.0006458422,0.0005232672,0.000786294,0.0004922408,0.0006599564,0.0006621264,0.0001723042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007611006,"about_ca_system_score_gemma":0.0009732618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01634019,"about_ca_topic_score_gemma":0.006218698,"domain_scores_codex":[0.9998179,0.0000451343,0.00001058071,0.0000217794,0.00006318021,0.00004140374],"domain_scores_gemma":[0.9995714,0.0002299512,0.00005001878,0.00002719007,0.00008065146,0.00004073026],"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":[0.00005518083,0.0000637626,0.001461764,0.0000647193,0.00001814801,0.00009529974,0.0000410691,0.9862373,0.004454768,0.003702043,0.0001562866,0.003649763],"study_design_scores_gemma":[0.000004961207,0.000005830064,0.00006928647,0.000001757679,9.942258e-7,0.000003506975,0.000003664121,0.9993556,0.000347636,0.0001148491,0.00008984481,0.000002048253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6120672,0.0005593543,0.3662769,0.0004223333,0.000189886,0.0001600173,0.0005728184,0.001178072,0.01857339],"genre_scores_gemma":[0.9338326,0.0001509736,0.06317931,0.0000476628,0.00001569956,0.0001655217,0.0001983298,0.00004887501,0.002360974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01634019,"threshold_uncertainty_score":0.03249019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268062229916423,"score_gpt":0.214976483907404,"score_spread":0.2022958616082397,"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."}}