{"id":"W2789635967","doi":"10.1016/j.memsci.2018.03.059","title":"Vapor-gap membranes for highly selective osmotically driven desalination","year":2018,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Membrane; Forward osmosis; Chemical engineering; Membrane distillation; Permeation; Microporous material; Materials science; Desalination; Chromatography; Permeability (electromagnetism); Osmosis; Chemistry; Reverse osmosis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002264841,0.0001768694,0.0002825398,0.0003019228,0.0004745203,0.0001181893,0.001206416,0.0001030009,0.0003180312],"category_scores_gemma":[0.00204764,0.0001404062,0.0001116495,0.00134366,0.002147578,0.00141296,0.0001580198,0.0002101089,0.0001469854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003023474,"about_ca_system_score_gemma":0.0002050741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001301952,"about_ca_topic_score_gemma":0.00003204742,"domain_scores_codex":[0.9973422,0.00005548182,0.0006016784,0.0003765368,0.001162908,0.0004611826],"domain_scores_gemma":[0.9982619,0.000227224,0.0005571102,0.0003004046,0.000468414,0.0001849982],"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":[0.0001513347,0.0001215592,0.001402459,0.00003075134,0.00001669638,0.000007732197,0.000630266,0.001874917,0.9850667,0.00267174,0.001516715,0.006509145],"study_design_scores_gemma":[0.0008597897,0.001185394,0.006321565,0.00003449906,0.00003765284,0.0001640201,0.0001679515,0.006949555,0.9719915,0.006549637,0.005487919,0.0002505548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701917,0.0000377689,0.01301308,0.002877621,0.0009188156,0.0004751041,0.000004312113,0.00009452694,0.01238705],"genre_scores_gemma":[0.9706557,0.00003693617,0.02851032,0.0002446405,0.000190953,0.000007397409,5.561637e-7,0.00001366347,0.0003398144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01549725,"threshold_uncertainty_score":0.791284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107976885139054,"score_gpt":0.2895390063714061,"score_spread":0.2684592375200155,"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."}}