{"id":"W2790572031","doi":"10.1002/cjce.23183","title":"An Analytical Solution to Interpret Active Ion Transport During Chemically‐Tuned Waterflooding Process in High‐Temperature Carbonate Rocks","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Wetting; Carbonate; Brine; Ion; Sorption; Advection; Chemistry; Dispersion (optics); Chemical reaction; Chemical engineering; Enhanced oil recovery; Mineralogy; Geology; Adsorption; Thermodynamics; Petroleum engineering; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003550065,0.0004700159,0.0002800219,0.000371272,0.000245066,0.000451293,0.0006508271,0.0006787236,0.0005578197],"category_scores_gemma":[0.0008922032,0.0002250843,0.0003159709,0.0002289077,0.0003542833,0.0006549644,0.0003032205,0.0005201346,0.000185141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007788308,"about_ca_system_score_gemma":0.0007727882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00563929,"about_ca_topic_score_gemma":0.003777956,"domain_scores_codex":[0.9999051,0.00001101068,0.000007764186,0.0000232917,0.00003612151,0.00001669075],"domain_scores_gemma":[0.9998268,0.00008140565,0.00002368391,0.00001265193,0.00004941728,0.000005995717],"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":[0.00008698054,0.0001159166,0.004672374,0.000258632,0.00002213643,0.0004106053,0.0002066084,0.1677756,0.7981526,0.005662894,0.0003042726,0.02233136],"study_design_scores_gemma":[0.000007100934,0.00003500977,0.0008810768,0.00000480093,0.000005494402,0.00005733434,0.00004790427,0.9133433,0.08440201,0.0007338992,0.0004734301,0.000008548126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4712109,0.0006771496,0.523614,0.0004566848,0.0000736983,0.0001590951,0.0002411987,0.0006678675,0.002899338],"genre_scores_gemma":[0.9461989,0.000513762,0.05105804,0.00005209404,0.00001537833,0.0000653688,0.00007298588,0.00003793136,0.001985653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00563929,"threshold_uncertainty_score":0.01121294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003522177199517559,"score_gpt":0.2030066581142654,"score_spread":0.1994844809147479,"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."}}