{"id":"W4403628846","doi":"10.1016/j.scitotenv.2024.177065","title":"A parallel compositional reservoir simulator for large-scale CO2 geological storage modeling and assessment","year":2024,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Virtual Materials Group (Canada); University of Calgary","funders":"","keywords":"Reservoir simulation; Scale (ratio); Computer science; Petroleum engineering; Environmental science; Geology; Geography; Cartography","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":[0.0002798983,0.0006361521,0.0004791931,0.0003623487,0.0004496876,0.0005245794,0.001179816,0.0007163894,0.003351913],"category_scores_gemma":[0.0007756475,0.0003738877,0.0006219886,0.0005076535,0.0003904669,0.0005922576,0.0007401052,0.000658122,0.0003001155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005778091,"about_ca_system_score_gemma":0.002182188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01548219,"about_ca_topic_score_gemma":0.01117545,"domain_scores_codex":[0.9999,0.00002179362,0.000006798021,0.0000162545,0.00003469658,0.00002049345],"domain_scores_gemma":[0.999757,0.00007565901,0.00002500107,0.00002767691,0.00007395685,0.00004062144],"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":[0.00005314209,0.0000449338,0.001579924,0.00003918556,0.00002343218,0.00005693473,0.00003005628,0.9858441,0.003646583,0.002307106,0.0008524233,0.005522181],"study_design_scores_gemma":[0.00001328997,0.000005573436,0.0000815556,9.651231e-7,0.00000277866,0.000003857357,0.000004861052,0.998764,0.0005268418,0.0002234584,0.0003701656,0.000002551425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3872531,0.0003069107,0.5754784,0.0005320276,0.000199764,0.0003778589,0.00300635,0.006446099,0.02639957],"genre_scores_gemma":[0.8600159,0.0002244569,0.1325755,0.00008801821,0.00002628346,0.0003493188,0.001916984,0.0004032755,0.004400233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01548219,"threshold_uncertainty_score":0.03078413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297601567979939,"score_gpt":0.2870453766938872,"score_spread":0.2640693610140878,"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."}}