{"id":"W4285177022","doi":"10.4236/aces.2022.123011","title":"Performance Evaluation of Ionic Liquids Using Numerical Simulation","year":2022,"lang":"en","type":"article","venue":"Advances in Chemical Engineering and Science","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petroleum Technology Research Centre; University of Regina","funders":"","keywords":"Petroleum engineering; Enhanced oil recovery; Oil in place; Ionic liquid; Flooding (psychology); Oil field; Relative permeability; Chloride; Permeability (electromagnetism); Process engineering; Chemistry; Computer science; Chromatography; Materials science; Chemical engineering; Environmental science; Engineering; Petroleum; Organic chemistry; Catalysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006689582,0.0007269505,0.0007362629,0.0007357299,0.0006548782,0.001027004,0.0008559068,0.001270461,0.002598495],"category_scores_gemma":[0.002285324,0.0002874262,0.0007757217,0.0007482468,0.0005401964,0.0006845017,0.0006650907,0.0007297731,0.0003602432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008840809,"about_ca_system_score_gemma":0.001108556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01284806,"about_ca_topic_score_gemma":0.006096571,"domain_scores_codex":[0.999694,0.00006604133,0.00002366343,0.00003373891,0.0001205058,0.00006208921],"domain_scores_gemma":[0.9986314,0.0008051167,0.0001243142,0.00006695534,0.0003241001,0.00004817648],"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":[0.0001398047,0.000108115,0.002101611,0.0001853237,0.00002045694,0.0001127164,0.00006475572,0.9792745,0.009455855,0.001977164,0.0004287619,0.00613103],"study_design_scores_gemma":[0.00001125083,0.00004807961,0.0001457615,0.000009857597,0.000005208031,0.000008077056,0.00001933229,0.9959488,0.003114044,0.0002097203,0.0004722096,0.000007771275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8411595,0.001928431,0.1109691,0.001240141,0.0002272525,0.0004130308,0.002036181,0.001493945,0.04053245],"genre_scores_gemma":[0.9650727,0.0005345368,0.03090995,0.00008749188,0.00001365497,0.0002479212,0.0005636032,0.00007819376,0.002491951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01284806,"threshold_uncertainty_score":0.02554655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325052810740652,"score_gpt":0.2876770792435474,"score_spread":0.2744265511361409,"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."}}