{"id":"W2340217325","doi":"10.1021/acs.estlett.5b00304","title":"<i>In Situ</i> Silver Decoration on Graphene Oxide-Treated Thin Film Composite Forward Osmosis Membranes: Biocidal Properties and Regeneration Potential","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology Letters","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Membrane; Graphene; Silver nanoparticle; Chemical engineering; Oxide; Thin-film composite membrane; Materials science; Regeneration (biology); Composite number; Thin film; Chemistry; Nanoparticle; Nanotechnology; Reverse osmosis; Composite material","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":[0.0001103617,0.0003131671,0.0001691543,0.0001799568,0.0001283847,0.0001886583,0.0002423183,0.0003890549,0.0005198742],"category_scores_gemma":[0.0001414178,0.0001364047,0.000222523,0.0001066243,0.0001461297,0.0001895306,0.00009482561,0.0002354041,0.0001635436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709993,"about_ca_system_score_gemma":0.00008672099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004809913,"about_ca_topic_score_gemma":0.0007611724,"domain_scores_codex":[0.9999313,0.00000824491,0.00000564383,0.00001428088,0.00001946718,0.0000211269],"domain_scores_gemma":[0.9999379,0.00001328112,0.0000219886,0.000006009779,0.00001421322,0.000006737492],"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":[0.00002125277,0.0000040675,0.00002924587,0.00001581117,0.000001165853,0.00001982528,0.000004429683,0.00003252823,0.9995247,0.00001667244,0.00001542312,0.0003149602],"study_design_scores_gemma":[8.463351e-7,0.00002142133,0.0002113941,5.245111e-7,0.00000224685,0.00002522603,0.000002565395,0.0002220148,0.9993927,0.000004743181,0.0001153936,9.76451e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951686,0.0004142845,0.003309944,0.00008411344,0.0000196373,0.000009400501,0.0001027938,0.00007286635,0.0008183047],"genre_scores_gemma":[0.9953382,0.0003022975,0.003141322,0.00003177762,0.000008582474,0.00000909094,0.000117903,0.00001412384,0.001036782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005198742,"threshold_uncertainty_score":0.001739144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006787160733847347,"score_gpt":0.17495408559985,"score_spread":0.1681669248660026,"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."}}