{"id":"W4310566118","doi":"10.1039/d2cp03839k","title":"Molecular modeling of thin-film nanocomposite membranes for reverse osmosis water desalination","year":2022,"lang":"en","type":"review","venue":"Physical Chemistry Chemical Physics","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Reverse osmosis; Desalination; Membrane; Thin-film composite membrane; Nanocomposite; Forward osmosis; Chemical engineering; Water desalination; Materials science; Osmosis; Nanotechnology; Chemistry; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001340597,0.0005609318,0.001332228,0.00001581246,0.0001041249,0.00002471756,0.0009097481,0.0002822311,0.0002657399],"category_scores_gemma":[0.00008449962,0.0004651155,0.0009345125,0.0003219766,0.0002348965,0.0001569118,0.0007178947,0.0005508285,0.00004501901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003354226,"about_ca_system_score_gemma":0.00003130615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001224312,"about_ca_topic_score_gemma":3.416527e-8,"domain_scores_codex":[0.99748,0.00004352121,0.0006234985,0.0008095771,0.0006127059,0.0004307229],"domain_scores_gemma":[0.9986337,0.0001952993,0.0003303909,0.0007187835,0.00002765819,0.0000941709],"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":[0.00002865911,0.0006627146,1.41784e-7,0.02508918,0.0001841762,0.000003431005,0.0001600667,0.03909831,0.8735303,0.0001387294,0.0003123095,0.06079195],"study_design_scores_gemma":[0.000180999,0.0000165713,1.338623e-9,0.0002948167,0.000452446,0.000002879803,0.00001047392,0.05061483,0.8138071,0.004143326,0.1299521,0.0005244165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06271422,0.8794667,0.0156517,0.0003794497,0.0004551039,0.01017888,0.001580096,0.002290621,0.02728328],"genre_scores_gemma":[0.0724656,0.9117454,0.00426558,0.0001484266,0.0008034088,0.003105006,0.006379439,0.0005574547,0.0005296769],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1296398,"threshold_uncertainty_score":0.9997801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03324013343440566,"score_gpt":0.2855267344992723,"score_spread":0.2522866010648667,"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."}}