{"id":"W2988354476","doi":"10.1039/c9ra06745k","title":"Efficiencies and mechanisms of the chemical cleaning of fouled polytetrafluoroethylene (PTFE) membranes during the microfiltration of alkali/surfactant/polymer flooding oilfield wastewater","year":2019,"lang":"en","type":"article","venue":"RSC Advances","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Microfiltration; Membrane; Cleaning agent; Reagent; Pulmonary surfactant; Polytetrafluoroethylene; Chemistry; Wastewater; Chemical engineering; Chromatography; Fouling; Biofouling; Polymer; Alkali metal; Waste management; Organic chemistry","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":[0.0001946017,0.0001180279,0.0002063627,0.00002820815,0.00007596167,0.000008566397,0.0003372858,0.00006626442,0.0001775708],"category_scores_gemma":[0.00006061716,0.00006879945,0.00005565089,0.0001996011,0.0003893106,0.0002319973,0.0001928135,0.00009631368,0.00000411054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001473753,"about_ca_system_score_gemma":0.000006152752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004227355,"about_ca_topic_score_gemma":0.00001467028,"domain_scores_codex":[0.9989737,0.00003935298,0.0003192194,0.0002007921,0.0003039624,0.0001629535],"domain_scores_gemma":[0.9992686,0.000143174,0.0002621192,0.0002994511,0.0000114889,0.00001515168],"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":[0.00002372275,0.00001519914,0.003148166,0.00008776357,0.000007428718,1.035331e-7,0.0004763968,0.0008421974,0.9942187,0.0006652183,0.000001189977,0.0005139204],"study_design_scores_gemma":[0.0001956585,0.00004151031,0.001836321,0.00004533645,0.00001175066,0.000004976346,0.001417146,0.0003667681,0.9954113,0.0005771942,0.000012005,0.00008006778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982379,0.0005403874,0.0001857241,0.0001495053,0.00008839828,0.000199948,0.000004591339,0.00002229585,0.000571233],"genre_scores_gemma":[0.9990116,0.0001073794,0.0006853223,0.00001588484,0.000005436062,0.000003957236,4.85468e-7,0.000007816882,0.0001621073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001311845,"threshold_uncertainty_score":0.280556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005542931619102685,"score_gpt":0.2034444102090586,"score_spread":0.1979014785899559,"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."}}