{"id":"W2044655022","doi":"10.1016/j.petrol.2012.03.010","title":"Scale-up of mass transfer and recovery performance in heterogeneous reservoirs","year":2012,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Basic Energy Sciences; Office of Science; U.S. Department of Energy","keywords":"Scaling; Scale (ratio); Volume (thermodynamics); Flow (mathematics); Statistical physics; Mass transfer; Process (computing); TRACER; Mass transport; Range (aeronautics); Multiphase flow; Mechanics; Biological system; Geology; Computer science; Mathematics; Materials science; Physics; Thermodynamics; Geometry","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":[0.0003830989,0.0003158817,0.0004143351,0.0002172662,0.0003560436,0.0006611106,0.0004225407,0.0004923609,0.0008585246],"category_scores_gemma":[0.0006666909,0.0001848697,0.0003523052,0.0002885264,0.0002892662,0.0006507514,0.0004449062,0.0005014832,0.0002237035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000453845,"about_ca_system_score_gemma":0.0003064207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056599,"about_ca_topic_score_gemma":0.001743077,"domain_scores_codex":[0.9997796,0.00003207461,0.00001917803,0.00005031096,0.00005440032,0.00006449265],"domain_scores_gemma":[0.9998029,0.00007838701,0.00002481662,0.00003404234,0.00003963529,0.00002018905],"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":[0.0002656694,0.0002533995,0.0005752809,0.00003917887,0.0000153062,0.00003390655,0.00003510457,0.001994245,0.9919968,0.00009612928,0.00006070277,0.004634286],"study_design_scores_gemma":[0.00002999631,0.0004523742,0.001825907,0.000002338044,0.00002235784,0.00002077689,0.00003233628,0.007529672,0.9896894,0.00005874746,0.0003260175,0.0000100333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978335,0.00009868603,0.001533729,0.00003420475,0.000005906216,0.0000362444,0.0001052494,0.0000328619,0.0003195358],"genre_scores_gemma":[0.9976337,0.0001267978,0.001653243,0.00001145881,0.000004392678,0.00003155239,0.00009855416,0.000007708323,0.0004324799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002056599,"threshold_uncertainty_score":0.004089236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007255810158194497,"score_gpt":0.1888428593266165,"score_spread":0.1815870491684221,"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."}}