{"id":"W2908162830","doi":"10.1016/j.gee.2018.12.003","title":"An improved correlation to determine minimum miscibility pressure of CO2–oil system","year":2018,"lang":"en","type":"article","venue":"Green Energy & Environment","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China; Zhoukou Normal University","keywords":"Miscibility; Mole fraction; Fraction (chemistry); Consistency (knowledge bases); Principal component analysis; Mass fraction; Chemistry; Materials science; Analytical Chemistry (journal); Thermodynamics; Mathematics; Statistics; Chromatography; Polymer; Organic chemistry; Physics","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":[0.001676833,0.001332493,0.001028306,0.001835914,0.0003691595,0.0005859089,0.001139736,0.0009456127,0.001224864],"category_scores_gemma":[0.006070584,0.0005767505,0.0008442919,0.001701277,0.0003423801,0.001601879,0.0008895768,0.001229481,0.0007752044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005325521,"about_ca_system_score_gemma":0.001132799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005124604,"about_ca_topic_score_gemma":0.00388639,"domain_scores_codex":[0.998167,0.0002777669,0.0000996203,0.0004354055,0.0008767578,0.0001434612],"domain_scores_gemma":[0.997681,0.0008571303,0.0002495857,0.0002130124,0.0009630047,0.00003622863],"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":[0.001070035,0.0004142508,0.08801447,0.001868081,0.0004648694,0.001333191,0.0004585391,0.3851039,0.1910836,0.004894529,0.007456397,0.3178382],"study_design_scores_gemma":[0.00002745916,0.0002132785,0.008429931,0.00003344692,0.00008450059,0.0001936388,0.00003937899,0.8987471,0.08907363,0.000489416,0.002585125,0.00008308341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.389402,0.004358702,0.5920829,0.0004356302,0.0002803404,0.0002358338,0.001509047,0.005515204,0.006180445],"genre_scores_gemma":[0.9236595,0.001323018,0.07146939,0.0001640932,0.00007735663,0.0002358314,0.001004762,0.0001479197,0.001918137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005124604,"threshold_uncertainty_score":0.01018953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005809737372004227,"score_gpt":0.1903390307834513,"score_spread":0.1845292934114471,"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."}}