{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000142823,0.0003401868,0.0001723749,0.0003013389,0.0002221214,0.0002283603,0.0002458235,0.0005114294,0.0007377867],"category_scores_gemma":[0.0001491042,0.0001186978,0.0003153702,0.0002117614,0.0001469726,0.0003231905,0.0002846571,0.0004211389,0.0003442104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003391323,"about_ca_system_score_gemma":0.0001452023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000909023,"about_ca_topic_score_gemma":0.002156816,"domain_scores_codex":[0.9998795,0.00001540652,0.000007023375,0.00002182379,0.00005895469,0.00001728867],"domain_scores_gemma":[0.9999468,0.00001123393,0.00001608097,0.000005406006,0.00001380024,0.000006638716],"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":[0.0000131628,0.000007846204,0.00006868981,0.0000825283,0.000006134143,0.00003930495,0.00000786642,0.0001452743,0.9959829,0.0001405887,0.00008179178,0.003423849],"study_design_scores_gemma":[0.000004371066,0.0001026806,0.001238002,0.000009098344,0.00001326777,0.0001203059,0.00001794281,0.001432489,0.9906939,0.0001298472,0.006229307,0.000008847192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.933231,0.01770105,0.03860798,0.0009634219,0.0002178165,0.0001086357,0.0006004603,0.000547171,0.00802242],"genre_scores_gemma":[0.9828924,0.004210365,0.009798753,0.0001129813,0.00001679434,0.0000306945,0.0002119511,0.00002045738,0.002705576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000909023,"threshold_uncertainty_score":0.002468169,"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."}}