{"id":"W2171583096","doi":"10.19026/rjaset.5.4709","title":"Determination of Residual Oil Distribution after Water Flooding and Polymer Flooding","year":2013,"lang":"en","type":"article","venue":"Research Journal of Applied Sciences Engineering and Technology","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CMG Reservoir Simulation Foundation","keywords":"Residual oil; Residual; Flooding (psychology); Petroleum engineering; Geology; Water content; Environmental science; Geotechnical engineering; Hydrology (agriculture); Soil science; Mathematics; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001245107,0.0001737267,0.0001884653,0.0004943541,0.0001683981,0.0002078962,0.0001935198,0.0001857521,0.0006869131],"category_scores_gemma":[0.0004139438,0.0001160391,0.0001695332,0.0003151658,0.0002857677,0.000525786,0.0002114668,0.000197933,0.0001245061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002187904,"about_ca_system_score_gemma":0.0001708843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004418421,"about_ca_topic_score_gemma":0.003426486,"domain_scores_codex":[0.9998817,0.000005910448,0.000006301,0.00003029338,0.0000459332,0.000029814],"domain_scores_gemma":[0.999861,0.00002861801,0.00003172541,0.00001186284,0.00005037993,0.00001631865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004311388,0.00003511853,0.02444396,0.00009828479,0.00001587653,0.0004947335,0.000251754,0.008957945,0.947988,0.0002083282,0.0000823615,0.01699256],"study_design_scores_gemma":[0.00001080814,0.0002868443,0.04945379,0.000007192494,0.00003481436,0.0001923917,0.0004329141,0.04358499,0.9048315,0.0001663724,0.0009715856,0.00002678278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951057,0.00006493871,0.004228656,0.000009152897,0.000002439668,0.0000064681,0.00009911438,0.00006496373,0.0004184376],"genre_scores_gemma":[0.9980406,0.00004843632,0.001322126,0.000003575596,7.359573e-7,0.000005407151,0.00009872608,0.00001660725,0.0004638323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004418421,"threshold_uncertainty_score":0.008785427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063690704401211,"score_gpt":0.2544417107969704,"score_spread":0.2438048037529583,"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."}}