{"id":"W2319557299","doi":"10.1021/es203813s","title":"Evaluation of Membrane Fouling for In-Line Filtration of Oil Sands Process-Affected Water: The Effects of Pretreatment Conditions","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fouling; Filtration (mathematics); Membrane fouling; Process (computing); Environmental science; Oil sands; Petroleum engineering; Chemistry; Pulp and paper industry; Membrane; Environmental engineering; Waste management; Materials science; Geology; Engineering; Mathematics; Composite material; Computer science","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":[0.0006933496,0.00007470858,0.0001501972,0.0001744019,0.00008835019,0.000002660791,0.0001828684,0.00007327384,0.00005666656],"category_scores_gemma":[0.0001844608,0.00004898989,0.00003699248,0.0003309541,0.0006833688,0.0001274287,0.00003167798,0.00005677335,6.263201e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001226218,"about_ca_system_score_gemma":0.00003285512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006250552,"about_ca_topic_score_gemma":0.000003170752,"domain_scores_codex":[0.9990495,0.00001674977,0.0002169047,0.0001467487,0.0003852836,0.0001848173],"domain_scores_gemma":[0.9995676,0.00004894362,0.000164378,0.0001730834,0.00002764475,0.00001833657],"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":[0.000005448671,0.0002814373,0.007485141,0.0001129302,0.00001691303,4.457904e-8,0.0003248143,0.0005812913,0.9769121,0.00001707122,1.441743e-7,0.01426269],"study_design_scores_gemma":[0.0005640161,0.00008281098,0.001754259,0.00006629239,0.0001657883,0.000001830833,0.000419389,0.004378164,0.9923248,0.0001904607,0.000004733389,0.00004740752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991465,0.0003289553,0.00008470686,0.00005985788,0.00001858596,0.00003976033,0.00001209199,0.00001258192,0.0002970162],"genre_scores_gemma":[0.9996508,0.00002831252,0.0001087186,0.000002106826,0.000008267075,0.0001214557,0.00002796619,0.000004022774,0.00004836403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01541277,"threshold_uncertainty_score":0.2517901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009219250543578927,"score_gpt":0.2715795388687663,"score_spread":0.2623602883251874,"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."}}