{"id":"W1982848770","doi":"10.1016/j.seppur.2014.10.017","title":"Treatment of oil sands process-affected water by submerged ceramic membrane microfiltration system","year":2014,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Microfiltration; Membrane; Filtration (mathematics); Membrane fouling; Fouling; Chemical oxygen demand; Ceramic membrane; Chemical engineering; Chemistry; Chromatography; Reverse osmosis; Permeation; Coagulation; Pulp and paper industry; Suspended solids; Environmental engineering; Environmental science; Wastewater","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007155228,0.0002394858,0.0002975009,0.0001553841,0.0002826891,0.0002598374,0.000201928,0.0002772419,0.0006054135],"category_scores_gemma":[0.0000855454,0.0000959742,0.0003659558,0.0001332983,0.0001141642,0.0002083425,0.0001469335,0.0002831589,0.0001149255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002926013,"about_ca_system_score_gemma":0.0003292848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003705647,"about_ca_topic_score_gemma":0.005248298,"domain_scores_codex":[0.999913,0.00000717495,0.000006593102,0.0000190761,0.00002909049,0.00002518177],"domain_scores_gemma":[0.9999696,0.000005666979,0.000007542635,0.000002161586,0.000009967574,0.000005047146],"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":[0.00008857012,0.0000197287,0.0002879184,0.00004910067,0.000005197281,0.00004938073,0.00002141932,0.000189364,0.9968604,0.00002971547,0.00003436767,0.002364887],"study_design_scores_gemma":[0.000004060587,0.00007662746,0.0009243654,0.000001830662,0.000008668992,0.00002334195,0.00002935685,0.001017644,0.9974949,0.00001025228,0.0004060117,0.00000291123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965205,0.0002929883,0.002477299,0.00004073309,0.00001959505,0.00001245121,0.00006570899,0.00004245984,0.0005282657],"genre_scores_gemma":[0.9967025,0.0002628747,0.001720575,0.0000158582,0.000005212211,0.000007254251,0.00006259036,0.000005450038,0.001217609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9962944,"threshold_uncertainty_score":0.007368147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006594534044177231,"score_gpt":0.2381657047307738,"score_spread":0.2315711706865965,"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."}}