{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001460975,0.0001522075,0.0001260277,0.0004090332,0.000154159,0.00004858722,0.0001832621,0.00009768776,0.000005309073],"category_scores_gemma":[0.000004058913,0.0001401565,0.00002051902,0.0005035283,0.0005640393,0.0003809188,0.00005454386,0.00009004749,0.00002778363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339162,"about_ca_system_score_gemma":0.000006490558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003318014,"about_ca_topic_score_gemma":0.00001831136,"domain_scores_codex":[0.9990516,0.00001530338,0.0001874245,0.0003050584,0.0001929832,0.0002475848],"domain_scores_gemma":[0.9996921,0.000003827146,0.00003627727,0.0002014333,0.000004542571,0.00006181269],"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":[0.000009832114,0.00002626248,0.003105235,0.000003334251,0.000004817016,0.000003756043,0.0000762567,0.01514904,0.981219,0.00007141312,0.000193943,0.0001371249],"study_design_scores_gemma":[0.0003201227,0.00004636163,0.005132447,0.000008838428,0.00001028095,0.00001233679,0.000132834,0.004094116,0.9897588,0.0001866884,0.0001326169,0.0001645487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968427,0.0001317207,0.0003932796,0.002056692,0.00009831425,0.0002606277,0.000006735922,0.000169617,0.00004028809],"genre_scores_gemma":[0.9987427,0.00007594999,0.0007033506,0.0003489678,0.00001447951,0.00008066104,0.00001513681,0.00001341775,0.000005348411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01105493,"threshold_uncertainty_score":0.5715418,"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."}}