{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004767097,0.0005917216,0.0005050354,0.0002590461,0.000404974,0.0003559591,0.0002314881,0.000586774,0.000484284],"category_scores_gemma":[0.0007633956,0.0001216401,0.0004017649,0.0003059679,0.000146946,0.0004329979,0.0001325877,0.0003811789,0.000133204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000464767,"about_ca_system_score_gemma":0.0003976602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003542174,"about_ca_topic_score_gemma":0.003871253,"domain_scores_codex":[0.9997073,0.00008816623,0.00002492453,0.00003339835,0.00009892094,0.00004728744],"domain_scores_gemma":[0.9996648,0.00009812085,0.00007932137,0.00002029958,0.0001081204,0.00002937025],"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":[0.00009889709,0.00005222112,0.0004907422,0.00007737281,0.000009449312,0.00001930432,0.00002704929,0.00007694485,0.9977367,0.000007823713,0.000008646617,0.00139498],"study_design_scores_gemma":[0.000003056873,0.000320156,0.003726974,0.000002549776,0.00002362043,0.00003141911,0.00002575477,0.0003863189,0.9952679,0.000004753407,0.0002036276,0.000003764015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976543,0.0005224221,0.001416703,0.00002261317,0.00001059192,0.00003038132,0.00009229626,0.00001340904,0.0002374075],"genre_scores_gemma":[0.993922,0.0008751226,0.004377564,0.00002613903,0.000007139406,0.0000338835,0.0001800168,0.00001155816,0.000566633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003542174,"threshold_uncertainty_score":0.007043123,"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."}}