{"id":"W3209874897","doi":"10.1029/2022wr032332","title":"A Dynamic Pore Network Model for Imbibition Simulation Considering Corner Film Flow","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Material Properties and Processing","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Los Alamos National Laboratory; Laboratory Directed Research and Development; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Imbibition; Wetting; Capillary pressure; Capillary action; Materials science; Mechanics; Porous medium; Flow (mathematics); Porosity; Capillary number; Composite material; Geotechnical engineering; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000820971,0.0001091734,0.0001305443,0.0001179775,0.0007357019,0.0001758694,0.0001591864,0.00004752175,0.0003703623],"category_scores_gemma":[0.00001686221,0.00008965546,0.00004325204,0.0001326967,0.00003890918,0.000102496,0.000204648,0.0002717137,0.0000109199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220904,"about_ca_system_score_gemma":0.00001048862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000151476,"about_ca_topic_score_gemma":0.000009913359,"domain_scores_codex":[0.9985796,0.00008611217,0.0002027022,0.0002078143,0.0003470454,0.0005767013],"domain_scores_gemma":[0.9996324,0.00005468333,0.00001230451,0.0001688013,0.00007323426,0.00005857925],"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":[0.0001170144,0.000006196628,0.000007763981,0.0001923706,0.00001166086,0.000003980024,0.003047035,0.9866363,0.006370531,0.00000441716,0.0009246712,0.002678027],"study_design_scores_gemma":[0.0002313626,0.00005038312,0.000003240644,0.00002377081,0.000003508541,0.000003751974,0.0001959873,0.9575068,0.0007931506,0.001631797,0.03942462,0.000131632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666632,0.0005105218,0.02991514,0.0002314177,0.0002525178,0.0007001976,0.00006448748,0.0003017797,0.00136071],"genre_scores_gemma":[0.9965756,0.000006509435,0.001292726,0.00003471231,0.0001245057,0.0002340603,0.000150058,0.00006064699,0.001521161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03849995,"threshold_uncertainty_score":0.5658498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06405204479344094,"score_gpt":0.3001353034440667,"score_spread":0.2360832586506258,"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."}}