{"id":"W2764322554","doi":"10.1016/j.advwatres.2017.10.010","title":"Toward direct pore-scale modeling of three-phase displacements","year":2017,"lang":"en","type":"article","venue":"Advances in Water Resources","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Micromodel; Capillary pressure; Saturation (graph theory); Capillary action; Wetting; Multiphase flow; Porous medium; Materials science; Geology; Pore water pressure; Mechanics; Phase (matter); Imbibition; Hysteresis; Geotechnical engineering; Porosity; Chemistry; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002546575,0.000500573,0.0007027769,0.0003002268,0.000457249,0.001087643,0.001769575,0.001908527,0.002860603],"category_scores_gemma":[0.001458383,0.0004906537,0.0005141086,0.0003841651,0.0009857852,0.001285034,0.00108748,0.001387867,0.000872183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005896091,"about_ca_system_score_gemma":0.0009941406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008390953,"about_ca_topic_score_gemma":0.007531107,"domain_scores_codex":[0.9998716,0.00002796001,0.000005773518,0.00001973307,0.00005999025,0.00001499292],"domain_scores_gemma":[0.9996303,0.0001712219,0.000029095,0.0000725563,0.0000755052,0.0000213024],"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":[0.00001984678,0.0000601736,0.0003199349,0.00006209443,0.00001640026,0.00006078891,0.00007329893,0.9562948,0.005597299,0.03079444,0.0005745593,0.006126384],"study_design_scores_gemma":[0.000003436027,0.00000199529,0.00001998563,0.000001260672,7.508613e-7,0.000003163829,0.000004597369,0.9977407,0.0002863695,0.001536532,0.000399621,0.000001627012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06095145,0.0003066597,0.9156231,0.0004936503,0.0001144922,0.0001024578,0.0003182138,0.0009370936,0.02115293],"genre_scores_gemma":[0.7970629,0.0005943899,0.1926166,0.0002360747,0.00007712595,0.00031599,0.0002781529,0.0004009273,0.008417882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008390953,"threshold_uncertainty_score":0.01668423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692325401901374,"score_gpt":0.2843800071838688,"score_spread":0.2674567531648551,"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."}}