{"id":"W3041688444","doi":"10.1016/j.memsci.2020.118440","title":"Fouling of composite water vapor transport membranes by aerosol nanoparticles","year":2020,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Permeance; Membrane; Microporous material; Chemical engineering; Materials science; Fouling; Backwashing; Water vapor; Nanoparticle; Nanofiltration; Particle (ecology); Substrate (aquarium); Chemistry; Composite material; Nanotechnology; Organic chemistry","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":[0.001039473,0.0001708777,0.0003838418,0.00008799788,0.0001741798,0.00003788865,0.001166798,0.0000623717,0.0007843027],"category_scores_gemma":[0.0001393042,0.0001164249,0.000120953,0.000703938,0.001230435,0.001047228,0.0001337261,0.0002282171,0.00008238974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005176483,"about_ca_system_score_gemma":0.00004769571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002163259,"about_ca_topic_score_gemma":0.000003110546,"domain_scores_codex":[0.9972183,0.0000409719,0.0008143486,0.0002998135,0.001231716,0.0003948732],"domain_scores_gemma":[0.9989815,0.00005202251,0.0004043905,0.0002270602,0.00007370592,0.0002613076],"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":[0.00008017135,0.00005793513,0.001740993,0.00003744027,0.000007889926,0.00001746996,0.001020518,0.005688147,0.9904819,0.00001167015,0.0001790241,0.0006769084],"study_design_scores_gemma":[0.0004998529,0.000250192,0.0005333513,0.00002349672,0.00002500674,0.00005707992,0.0002177053,0.001058333,0.9961972,0.00004800803,0.0009415511,0.0001482336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948499,0.0001027492,0.0004215697,0.0034155,0.0001419087,0.000130736,0.000004805133,0.00003976035,0.0008931301],"genre_scores_gemma":[0.9968343,0.00007662859,0.002616361,0.0003787953,0.0000288355,0.000001437785,8.245108e-7,0.00001102394,0.00005182323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005715357,"threshold_uncertainty_score":0.8587564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621510460164005,"score_gpt":0.235805012322725,"score_spread":0.219589907721085,"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."}}