{"id":"W2921650598","doi":"10.3390/fluids4010052","title":"Innovative CO2 Injection Strategies in Carbonates and Advanced Modeling for Numerical Investigation","year":2019,"lang":"en","type":"article","venue":"Fluids","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Bureau de Recherches Géologiques et Minières","keywords":"Injection well; Water injection (oil production); Petroleum engineering; Carbonate; Geology; Brine; Carbon sequestration; Porous medium; Volumetric flow rate; Permeability (electromagnetism); Enhanced oil recovery; Environmental science; Injection site; Multiphase flow; Porosity; Carbon dioxide; Materials science; Geotechnical engineering; Mechanics; Thermodynamics; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007526165,0.00005112731,0.0000564309,0.00002967479,0.00003371439,0.00001944418,0.0000258057,0.00003382682,0.000159809],"category_scores_gemma":[0.00003182972,0.00004805375,0.000007768203,0.0001821744,0.00003071218,0.0003271257,0.00001874934,0.00006222509,0.00002432618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005834344,"about_ca_system_score_gemma":0.00001286296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003797194,"about_ca_topic_score_gemma":0.0001983997,"domain_scores_codex":[0.999606,0.00001171635,0.0001109771,0.0001377166,0.00005335539,0.0000802311],"domain_scores_gemma":[0.9998726,0.00003065466,0.00001950422,0.00004543232,0.00001548063,0.00001631942],"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":[0.0001136643,0.00005288424,0.1607383,0.00001925536,0.000007969291,8.160762e-7,0.003445628,0.5481375,0.2560535,0.02607324,0.0003564612,0.005000727],"study_design_scores_gemma":[0.0004405935,0.0002578209,0.03594065,0.00001430068,0.000002123837,0.0000046303,0.001951011,0.9373151,0.002365167,0.02085875,0.0007095189,0.0001403167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986645,0.000007272152,0.007759741,0.0002462615,0.00009489629,0.0002045628,0.000001906507,0.00001947355,0.00502085],"genre_scores_gemma":[0.9979486,0.000002482308,0.001482741,0.0001237069,0.000009673477,0.00003371136,0.00001338363,0.000002974003,0.0003826522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3891776,"threshold_uncertainty_score":0.1959575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468458106927653,"score_gpt":0.2639810275539249,"score_spread":0.2492964464846484,"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."}}