{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002740833,0.0007261211,0.0005856516,0.0004416146,0.000430425,0.0009816342,0.0007868055,0.001513527,0.001747123],"category_scores_gemma":[0.0007836038,0.0002957833,0.0007243842,0.0005486097,0.0006062062,0.000579242,0.000636539,0.0007259546,0.0002395735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000564464,"about_ca_system_score_gemma":0.0008142871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01726218,"about_ca_topic_score_gemma":0.009809488,"domain_scores_codex":[0.9998729,0.000034977,0.000008731934,0.00002082248,0.00003483606,0.00002772107],"domain_scores_gemma":[0.9997649,0.0001226724,0.00003074086,0.00001803801,0.00004586353,0.0000177852],"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":[0.00004312865,0.00006305025,0.001606923,0.00009802671,0.00001956938,0.0001073231,0.00005110486,0.9816453,0.005903624,0.005494919,0.0002963913,0.004670619],"study_design_scores_gemma":[0.000004454695,0.000007511304,0.0001785862,0.000004634855,0.000001871237,0.00000792861,0.000008835468,0.9983901,0.0004888508,0.0003829564,0.0005207891,0.000003518964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4700994,0.003156882,0.4758066,0.001192147,0.0003403647,0.0004043391,0.001653087,0.000978309,0.04636876],"genre_scores_gemma":[0.9032268,0.001302473,0.08523373,0.0001136394,0.00007201679,0.0004558172,0.0005572554,0.000147886,0.008890368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01726218,"threshold_uncertainty_score":0.03432345,"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."}}