{"id":"W3175025234","doi":"10.3390/membranes11070475","title":"Graphene Oxide Membranes for High Salinity, Produced Water Separation by Pervaporation","year":2021,"lang":"en","type":"article","venue":"Membranes","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Abu Dhabi National Oil Company","keywords":"Membrane; Pervaporation; Produced water; Chemical engineering; Emulsion; Oxide; Wastewater; Chemistry; Membrane technology; Desalination; Hydrolysis; Salt (chemistry); Chromatography; Environmental engineering; Organic chemistry; Permeation; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004303623,0.0002740904,0.0003019651,0.00006139582,0.0003261237,0.0001277022,0.0002936951,0.0001920455,0.001869944],"category_scores_gemma":[0.0002011986,0.0002226766,0.0001040368,0.0003265762,0.0001649375,0.0006286607,0.0001453772,0.0001190344,0.0004942834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006814571,"about_ca_system_score_gemma":0.00002100438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001634737,"about_ca_topic_score_gemma":0.0002603616,"domain_scores_codex":[0.9978793,0.0001090957,0.0004551919,0.0007162343,0.0004244932,0.0004156785],"domain_scores_gemma":[0.9990793,0.00008489814,0.0001174059,0.000574599,0.00006977437,0.00007404477],"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":[0.00004784562,0.0001120179,0.0009434604,0.0001418982,0.00002111485,0.0000043565,0.0002517429,0.001276314,0.9879156,0.0002917443,0.008202366,0.0007915049],"study_design_scores_gemma":[0.0005673048,0.00005955459,0.0005943293,0.000007719093,0.00003408452,0.00001339424,0.0001464339,0.0004770175,0.9595408,0.003904065,0.03433616,0.0003191592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916784,0.0002381058,0.001258917,0.004204507,0.0003038478,0.0007174647,0.00003619929,0.0004109654,0.001151654],"genre_scores_gemma":[0.9916617,0.0001630659,0.002118841,0.0004730451,0.00007282664,0.0002720233,0.0008575006,0.00003867719,0.004342278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02837486,"threshold_uncertainty_score":0.9990425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179685242720017,"score_gpt":0.2607221790809473,"score_spread":0.2427536548089456,"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."}}