{"id":"W2591070234","doi":"10.1088/1742-2140/aa5c0d","title":"Improved minimum miscibility pressure correlation for CO<sub>2</sub> flooding using various oil components and their effects","year":2017,"lang":"en","type":"article","venue":"Journal of Geophysics and Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Central University Basic Research Fund of China; China Scholarship Council; Fundamental Research Funds for the Central Universities; University of Alberta","keywords":"Mole fraction; Miscibility; Fraction (chemistry); Petroleum engineering; Enhanced oil recovery; Correlation; Chemistry; Materials science; Mathematics; Engineering; Chromatography; Organic chemistry; Polymer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001480786,0.00008092137,0.0001223577,0.0000163674,0.000229029,0.0000826969,0.00005845397,0.00003666983,0.000002062935],"category_scores_gemma":[0.0000650258,0.00006695624,0.00004080242,0.00001387164,0.00003323341,0.0002991274,0.00003882716,0.0001105287,3.917488e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002309539,"about_ca_system_score_gemma":0.000004836931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002993999,"about_ca_topic_score_gemma":0.000004556593,"domain_scores_codex":[0.9996082,0.000008020384,0.0001393599,0.00009056044,0.00005574491,0.00009807271],"domain_scores_gemma":[0.9995905,0.00007832862,0.0001702477,0.000087444,0.00001809809,0.00005535452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002149783,0.00002559463,0.001629596,0.00004641201,0.00002843017,0.000001390946,0.000227015,0.01482361,0.9766607,0.00002298685,0.00001012545,0.00650263],"study_design_scores_gemma":[0.0006109701,0.0001241036,0.09811609,0.00007760079,0.0000522175,0.00004470636,0.00002320074,0.875166,0.02494431,0.0003838367,0.0003257324,0.0001312486],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822814,0.00003962399,0.0172089,0.00004806915,0.0003067981,0.00005549421,0.000003172938,0.000004944714,0.00005156235],"genre_scores_gemma":[0.9989972,0.00002007614,0.0008656054,0.00001031917,0.00008441397,0.000001383027,9.973905e-7,0.000005097884,0.00001495027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9517164,"threshold_uncertainty_score":0.2730396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112331925452664,"score_gpt":0.2260643982556109,"score_spread":0.2149410790010842,"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."}}