{"id":"W2749901951","doi":"10.1016/j.petrol.2017.08.040","title":"Development of scaling criteria for enhanced oil recovery: A review","year":2017,"lang":"en","type":"review","venue":"Journal of Petroleum Science and Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Research and Development Corporation of Newfoundland and Labrador","keywords":"Scaling; Dimensionless quantity; Porous medium; Petroleum engineering; Enhanced oil recovery; Fluid dynamics; Flow (mathematics); Process (computing); Reservoir engineering; Displacement (psychology); Petroleum; Computer science; Porosity; Geology; Mechanics; Geotechnical engineering; Mathematics; Physics; Geometry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002543047,0.000347477,0.001779544,0.0006199946,0.0001009939,0.0001003593,0.0007539959,0.0001301114,0.000004247443],"category_scores_gemma":[0.0007210037,0.0002932289,0.0003139838,0.0002620765,0.00007043179,0.0006013202,0.00007710484,0.000335618,8.980392e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003244234,"about_ca_system_score_gemma":0.0005239177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.069786e-7,"about_ca_topic_score_gemma":5.32124e-7,"domain_scores_codex":[0.9976874,0.000009236704,0.00126757,0.0002075856,0.0004577291,0.0003704712],"domain_scores_gemma":[0.9984342,0.0001156089,0.0007008777,0.0002957715,0.0003040403,0.0001494502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001540851,0.000004607665,2.035803e-8,0.06338009,0.00005675048,0.000001867854,0.00002833214,0.0001485986,0.002931403,0.000006349712,0.00009426787,0.9333462],"study_design_scores_gemma":[0.00008989117,0.00005034493,6.671013e-7,0.1458998,0.0002000199,0.00007302341,0.000004202026,0.0006810449,0.002795587,0.000006099066,0.8498746,0.000324754],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001027529,0.9762217,0.02238704,0.00000385527,0.0007788734,0.0001029795,0.000009033731,0.00004682694,0.0003469842],"genre_scores_gemma":[0.00006946801,0.9264063,0.07326488,0.000004627083,0.000137867,0.00003821701,0.000001481861,0.0000485852,0.000028529],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9330214,"threshold_uncertainty_score":0.999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05442664256397373,"score_gpt":0.3509526659544322,"score_spread":0.2965260233904585,"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."}}