{"id":"W2752089730","doi":"10.1016/j.petlm.2017.09.004","title":"Application of Lauryl Betaine in enhanced oil recovery: A comparative study in micromodel","year":2017,"lang":"en","type":"article","venue":"Petroleum","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Micromodel; Pulmonary surfactant; Betaine; Enhanced oil recovery; Chemistry; Flooding (psychology); Brine; Oil in place; Microemulsion; Petroleum engineering; Salinity; Water flooding; Chemical engineering; Environmental science; Chromatography; Petroleum; Geology; Organic chemistry; Porous medium; Engineering","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":[0.0002608374,0.0003209417,0.000312237,0.0002588051,0.0001438232,0.0002336815,0.000188596,0.0003121244,0.0006117765],"category_scores_gemma":[0.0003541717,0.00009887344,0.0002923448,0.0001727474,0.0001619417,0.0005889345,0.000274892,0.0002811792,0.0001811243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001941728,"about_ca_system_score_gemma":0.0001910533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005931708,"about_ca_topic_score_gemma":0.001084606,"domain_scores_codex":[0.9998702,0.00002188052,0.00001172959,0.00003300049,0.00004005948,0.00002319509],"domain_scores_gemma":[0.9998085,0.00006782845,0.00005248369,0.00002015738,0.00003103548,0.00002005885],"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":[0.00003759607,0.00002575494,0.00009153675,0.00005343285,0.000002629254,0.00004301811,0.00001797779,0.0003401407,0.9976158,0.00004053807,0.00001400063,0.001717542],"study_design_scores_gemma":[0.000004376613,0.0003066174,0.0004957967,0.000003591863,0.000007393741,0.0000559019,0.00001779082,0.001459759,0.9967428,0.00001588234,0.0008844894,0.000005650308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863323,0.001387515,0.01078638,0.00007100057,0.00001588812,0.00005724109,0.0001464021,0.0001435576,0.00105976],"genre_scores_gemma":[0.9772792,0.002060396,0.0180509,0.00004689747,0.000007339301,0.00005027628,0.0001746109,0.00004944689,0.002280978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006117765,"threshold_uncertainty_score":0.002046645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150900354999508,"score_gpt":0.2811533473417797,"score_spread":0.2660633118418289,"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."}}