{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005454874,0.001138484,0.0009572451,0.0007204201,0.000187902,0.0006320155,0.0009286379,0.0008162841,0.001719361],"category_scores_gemma":[0.0005484798,0.0003351197,0.0005800052,0.0007865049,0.0001708343,0.0008584506,0.0002931564,0.001219466,0.001452887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006501588,"about_ca_system_score_gemma":0.0009165551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002080953,"about_ca_topic_score_gemma":0.003445434,"domain_scores_codex":[0.9999152,0.00001715345,0.000005938155,0.00001406805,0.00003947436,0.000008114941],"domain_scores_gemma":[0.9999012,0.0000363042,0.00001507826,0.000007442785,0.00003249245,0.000007457208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001124991,0.0002998415,0.0002960394,0.0249098,0.0004620844,0.0003675241,0.0000731523,0.04292457,0.07586162,0.03809319,0.04191945,0.7746803],"study_design_scores_gemma":[0.00006671777,0.0002419322,0.0006364285,0.001533706,0.0003151977,0.0007239163,0.00003694213,0.0246425,0.02877996,0.006083706,0.9368684,0.00007048246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00258031,0.9770864,0.01310939,0.0007442083,0.0004241305,0.00007012711,0.0002949788,0.0001675029,0.005522983],"genre_scores_gemma":[0.01119728,0.9724787,0.0125583,0.0001843876,0.0001396328,0.00009782343,0.0003637271,0.00003256202,0.002947581],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002080953,"threshold_uncertainty_score":0.005751789,"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."}}