{"id":"W2079200138","doi":"10.1021/es902862j","title":"Produced Water Treatment by Micellar-Enhanced Ultrafiltration","year":2010,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ultrafiltration (renal); Cetylpyridinium chloride; Chemistry; Membrane; Pulmonary surfactant; Permeation; Micelle; Critical micelle concentration; Chromatography; Dissolution; Chemical engineering; Membrane technology; Membrane fouling; Fouling; Aqueous solution; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002960944,0.0002867491,0.0001930987,0.0002358512,0.0005533635,0.00005667101,0.0009680935,0.000263418,0.00452429],"category_scores_gemma":[0.00004721846,0.0002110631,0.0000460788,0.0006950403,0.004081262,0.0007383552,0.0003413117,0.0003175754,0.003602789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004858885,"about_ca_system_score_gemma":0.00001547488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003814549,"about_ca_topic_score_gemma":0.00004230756,"domain_scores_codex":[0.9974213,0.00001655718,0.0002968057,0.001001128,0.0005107407,0.0007534694],"domain_scores_gemma":[0.9988873,0.00001273789,0.00009316121,0.0008835134,0.000003196232,0.0001201184],"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":[0.000005927762,0.0001796122,0.003145377,5.691101e-7,0.000002815714,0.000001941127,0.0001448963,0.00004897083,0.9798259,0.0001039361,0.0002066972,0.01633335],"study_design_scores_gemma":[0.0002889026,0.0002588302,0.0009238278,0.000001003736,0.000007208202,0.0000251598,0.0001978201,0.00009231511,0.9703932,0.0005964136,0.02693889,0.0002763909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912587,0.00001421646,0.0002074449,0.002087614,0.0002609162,0.0005514298,0.000008729287,0.0004932929,0.005117704],"genre_scores_gemma":[0.9963587,0.00004087725,0.001396907,0.0001212148,0.00001976428,0.0001424022,0.000023953,0.00001885621,0.001877316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0267322,"threshold_uncertainty_score":0.998629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004142724837002136,"score_gpt":0.2083699624088075,"score_spread":0.2042272375718053,"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."}}