{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007880965,0.00005703545,0.000115305,0.0001171776,0.00004385349,0.00001730157,0.0000959189,0.00001597061,0.000009169579],"category_scores_gemma":[0.00001829523,0.00004102679,0.00001646487,0.000174043,0.0001233251,0.0008089065,0.00003855217,0.00007287486,9.483051e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005773276,"about_ca_system_score_gemma":0.000006498185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007843847,"about_ca_topic_score_gemma":0.000005181931,"domain_scores_codex":[0.9992741,0.000005787075,0.0001834755,0.0000651935,0.0002870288,0.0001843784],"domain_scores_gemma":[0.9998187,0.00001668408,0.00002982771,0.00004306844,0.00001551187,0.00007617883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003152276,0.00002668085,0.7155511,0.00004376509,0.00000763394,0.000003395718,0.001985925,0.01565124,0.2389259,0.000007578547,0.000008314387,0.02775699],"study_design_scores_gemma":[0.0003831328,0.0001644846,0.969146,0.00005690021,0.00000894604,0.00009933207,0.0003102108,0.005929538,0.02250836,0.000003961404,0.001283385,0.0001057705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976099,0.0002227819,0.001853963,0.00005091084,0.0001501278,0.00001466101,3.329775e-7,0.00000177442,0.00009551479],"genre_scores_gemma":[0.9993526,0.0001939252,0.0003492895,0.00001088344,0.00002005461,7.724597e-7,2.2682e-8,0.000002640097,0.00006984176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2535949,"threshold_uncertainty_score":0.1673024,"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."}}