{"id":"W4303696880","doi":"10.1016/j.fuel.2022.126185","title":"Dehydration of water-in-crude oil emulsions using polymeric demulsifiers: A model for water removal based on the viscoelastic properties of the oil–water interfacial film","year":2022,"lang":"en","type":"article","venue":"Fuel","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Demulsifier; Dehydration; Emulsion; Bottle; Asphaltene; Viscoelasticity; Rheology; Chemistry; Materials science; Rheometer; Water content; Chromatography; Crude oil; Viscosity; Chemical engineering; Composite material; Organic chemistry; Petroleum 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001983842,0.0001535746,0.0001878216,0.0001182586,0.0001185283,0.00001502919,0.0002682905,0.00004910559,0.00006355299],"category_scores_gemma":[0.00002958281,0.000072302,0.0001126019,0.00008564664,0.00005500004,0.00009635332,0.0001204177,0.0001890763,0.000001540819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312438,"about_ca_system_score_gemma":0.00001877038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000041219,"about_ca_topic_score_gemma":0.00003462604,"domain_scores_codex":[0.9989595,0.00007293392,0.0003229297,0.0001514239,0.0002155998,0.0002776423],"domain_scores_gemma":[0.9995881,0.00003971034,0.0000340097,0.000287682,0.00003376951,0.00001672571],"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":[0.00006748793,0.00002381432,0.00000404603,0.00009893813,0.000009222823,3.376527e-7,0.001612876,0.4335858,0.564231,0.000009818541,0.00001359373,0.0003430565],"study_design_scores_gemma":[0.0001132025,0.00003449944,0.000001798965,0.00006311094,0.00001122064,0.00000117052,0.00007144489,0.4899307,0.5095419,0.0001130835,0.00005392808,0.00006389786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799572,0.00004592935,0.01893409,0.0001778898,0.0002367046,0.0001643461,0.00003251442,0.00006867087,0.0003826971],"genre_scores_gemma":[0.998227,0.000004792207,0.001080509,0.00007429243,0.00002255521,0.0002509883,0.000009215544,0.0000427737,0.0002878618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05634497,"threshold_uncertainty_score":0.294839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02540739551140207,"score_gpt":0.2189616270073247,"score_spread":0.1935542314959227,"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."}}