{"id":"W4294641336","doi":"","title":"Efficient parallel simulation of CO2 geologic sequestration insaline aquifers","year":2007,"lang":"en","type":"paratext","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Energy Research Scientific Computing Center; U.S. Department of Energy","keywords":"Aquifer; Computer science; Carbon sequestration; Petroleum engineering; Environmental science; Geology; Groundwater; Carbon dioxide; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002596442,0.0005772487,0.0006361673,0.0002763088,0.000673118,0.0006079374,0.000941743,0.0008546831,0.001976774],"category_scores_gemma":[0.0007461346,0.0003223274,0.0004858139,0.0006073727,0.0006246759,0.000486866,0.0007437124,0.0005747842,0.000171562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009563408,"about_ca_system_score_gemma":0.001661013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01622474,"about_ca_topic_score_gemma":0.01034394,"domain_scores_codex":[0.9998869,0.0000239027,0.00000506056,0.00001644222,0.00004104278,0.00002678592],"domain_scores_gemma":[0.9997479,0.0001069696,0.00002520873,0.00002376303,0.00005001244,0.00004603637],"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":[0.00003894346,0.00003130685,0.001305902,0.00001688432,0.000009683842,0.00006045462,0.00002653407,0.9925188,0.002348859,0.001038347,0.0002380057,0.002366424],"study_design_scores_gemma":[0.00001528496,0.00001105877,0.0002704476,8.228866e-7,0.000001601547,0.00000725328,0.000006702337,0.9985488,0.0006362055,0.000256604,0.0002424011,0.000002753946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8773488,0.000218616,0.1035091,0.0004401368,0.00006348782,0.0001552542,0.001162875,0.001419779,0.01568193],"genre_scores_gemma":[0.9666644,0.0001436705,0.02911232,0.00003954429,0.0000150924,0.0001865844,0.0006668742,0.0001222266,0.003049274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01622474,"threshold_uncertainty_score":0.0322606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820914708744782,"score_gpt":0.1868522489689306,"score_spread":0.1686431018814828,"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."}}