{"id":"W4221016023","doi":"10.1029/2021wr031509","title":"Incorporating the Effect of Gravity Into Image‐Based Drainage Simulations on Volumetric Images of Porous Media","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Energy Training; University of Waterloo; University of Toronto","funders":"","keywords":"Micromodel; Porous medium; Image (mathematics); Drainage; Computer science; Image processing; Gravitational field; Flow (mathematics); Geology; Work (physics); Algorithm; Mechanics; Mathematics; Porosity; Computer vision; Geometry; Geotechnical engineering; Physics; Engineering; Classical mechanics; Mechanical engineering","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":[0.0002050741,0.0002914451,0.0002396375,0.0002592615,0.0001644614,0.0003476458,0.0003757175,0.0004638731,0.000551195],"category_scores_gemma":[0.0008526793,0.0001361687,0.0002025108,0.000258351,0.0003311476,0.0002876752,0.0003579751,0.0002620221,0.0000528463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004025476,"about_ca_system_score_gemma":0.0004268397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004763014,"about_ca_topic_score_gemma":0.002953301,"domain_scores_codex":[0.9999511,0.00001243825,0.000002340696,0.0000057229,0.00001821834,0.00001007324],"domain_scores_gemma":[0.9996786,0.0002127641,0.00003138173,0.00001606357,0.00004286446,0.00001833656],"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":[0.00004304205,0.00003408405,0.0008780607,0.00003267678,0.000007917214,0.00006715201,0.00004593979,0.9734317,0.0178338,0.001560625,0.00007787222,0.005987098],"study_design_scores_gemma":[0.000002206367,0.000007757099,0.00007936251,0.000001033243,0.000001012152,0.000003406089,0.000002507467,0.9973647,0.002425745,0.00006397979,0.00004685837,0.00000147088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.788658,0.00009929942,0.2067859,0.00009433212,0.00002123468,0.00007738007,0.00008570128,0.0004291855,0.003748851],"genre_scores_gemma":[0.9656068,0.00005406607,0.03362937,0.00001309586,0.000004073696,0.00003171988,0.00003297622,0.00003873842,0.0005891168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004763014,"threshold_uncertainty_score":0.009470582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673006442456387,"score_gpt":0.3015537160535002,"score_spread":0.2848236516289364,"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."}}