{"id":"W2896149696","doi":"10.1063/1.5047480","title":"Research Update: Liquid gated membrane filtration performance with inorganic particle suspensions","year":2018,"lang":"en","type":"article","venue":"APL Materials","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Advanced Research Projects Agency - Energy","keywords":"Fouling; Filtration (mathematics); Microfiltration; Ultrafiltration (renal); Membrane fouling; Backwashing; Membrane; Materials science; Particle (ecology); Chromatography; Chemical engineering; Membrane technology; Chemistry; Engineering","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":[0.002232914,0.0007912551,0.0007532078,0.001097098,0.0004368123,0.001809445,0.001207286,0.002515687,0.006491221],"category_scores_gemma":[0.003564521,0.000289684,0.0006081751,0.0009966908,0.0003488045,0.002501261,0.0006317728,0.001931073,0.00362404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248257,"about_ca_system_score_gemma":0.002055585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152003,"about_ca_topic_score_gemma":0.001687061,"domain_scores_codex":[0.9987453,0.0001621167,0.0001747471,0.0001577117,0.0006401842,0.0001198717],"domain_scores_gemma":[0.9958473,0.0009108858,0.0003293787,0.0001552427,0.002548027,0.0002090432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006469589,0.0006211314,0.00133931,0.008414285,0.0001523749,0.0006146004,0.0001686004,0.000373538,0.1260444,0.003096417,0.1926054,0.665923],"study_design_scores_gemma":[0.00005187661,0.001762639,0.001550581,0.0006565878,0.0002657018,0.0009425574,0.0001260811,0.0004059955,0.116322,0.0008971081,0.8769593,0.00005971098],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05092568,0.7682858,0.01220296,0.05681785,0.03411968,0.0005567879,0.004987544,0.001652658,0.07045111],"genre_scores_gemma":[0.1099924,0.7530392,0.0262921,0.027897,0.01331633,0.0003849496,0.007649433,0.0003915411,0.06103709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006491221,"threshold_uncertainty_score":0.02171528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03128287465697988,"score_gpt":0.2879113346240134,"score_spread":0.2566284599670335,"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."}}