{"id":"W2134970411","doi":"10.1115/es2012-91031","title":"Pore Network Modelling of Surface Heterogeneity in Brine-Filled Porous Media for Carbon Sequestration","year":2012,"lang":"en","type":"article","venue":"","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Carbon Management Canada","keywords":"Porous medium; Homogeneous; Supercritical fluid; Carbon sequestration; Saturation (graph theory); Capillary pressure; Wetting; Brine; Capillary action; Carbon dioxide; Porosity; Quartz; Materials science; Viscous fingering; Petroleum engineering; Geology; Mineralogy; Composite material; Chemistry; Thermodynamics","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":[0.0001579971,0.0002596811,0.0002650298,0.0003047239,0.000188697,0.0004799965,0.0004850689,0.0008644015,0.0005419276],"category_scores_gemma":[0.0006274371,0.0001883449,0.0003679328,0.0003419392,0.0003360038,0.000575286,0.0002756145,0.0002706228,0.00006004261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004930217,"about_ca_system_score_gemma":0.0004048347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007800439,"about_ca_topic_score_gemma":0.005251511,"domain_scores_codex":[0.9999403,0.0000171066,0.000003326344,0.00001350765,0.00001220448,0.0000136561],"domain_scores_gemma":[0.9997064,0.0002062746,0.00003725312,0.00001554085,0.00001979827,0.0000146187],"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":[0.00002087374,0.00002021991,0.0008826116,0.00001834762,0.000006903045,0.0000390951,0.00001888712,0.9878417,0.008223306,0.001788191,0.00003034424,0.001109576],"study_design_scores_gemma":[0.000001916864,0.000004027185,0.0001819458,7.616785e-7,0.000001005413,0.00000338917,0.000003106278,0.9988959,0.0005494073,0.0003120265,0.0000448887,0.000001675526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8665003,0.0003350724,0.1291776,0.0001598722,0.00001608191,0.00003852323,0.0002963337,0.0001466321,0.003329606],"genre_scores_gemma":[0.9920667,0.0001681982,0.007093497,0.000009111796,0.000004380347,0.00003409715,0.00006122293,0.00001094703,0.0005518636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007800439,"threshold_uncertainty_score":0.01551008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05141902414431648,"score_gpt":0.2726540787842356,"score_spread":0.2212350546399191,"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."}}