{"id":"W4390043147","doi":"10.1021/acsomega.3c09331","title":"Comprehensive Characterization of Commercial Reverse Osmosis Membranes through High-Temperature Cross-Flow Filtration","year":2023,"lang":"en","type":"article","venue":"ACS Omega","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Suncor Energy (Canada); University of Toronto; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Natural Resources Limited","keywords":"Membrane; Reverse osmosis; Filtration (mathematics); Forward osmosis; Materials science; Osmosis; Chemical engineering; Cross-flow filtration; Chemistry; Engineering; Mathematics","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":[0.0001032496,0.0001534723,0.0002118177,0.00005856586,0.0001760033,0.00004896994,0.000273412,0.0001838915,0.0004122344],"category_scores_gemma":[0.00008039917,0.0001467807,0.00004821194,0.0008440196,0.0002642658,0.0007106112,0.000150382,0.0001357932,0.0006266588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004725791,"about_ca_system_score_gemma":0.000009648571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001570151,"about_ca_topic_score_gemma":0.00003054098,"domain_scores_codex":[0.9988097,0.00005867684,0.00030269,0.0002907794,0.0003323485,0.0002057916],"domain_scores_gemma":[0.9993324,0.00007110606,0.0001655969,0.0003655006,0.00003794327,0.0000274547],"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":[0.00003093953,0.00003226514,0.004422528,0.00004387082,0.00001210799,0.000003565484,0.0005369367,0.001957407,0.987184,0.0002034094,0.004536114,0.001036869],"study_design_scores_gemma":[0.0004030213,0.00006339143,0.2458202,0.0000169167,0.00001237869,0.000002737635,0.0001032323,0.0002619129,0.7382396,0.0005047673,0.01437316,0.0001986592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974915,0.000007297073,0.00003131545,0.001142345,0.0002865756,0.0002839675,0.0001055948,0.0002778714,0.0003734781],"genre_scores_gemma":[0.9970906,0.0002175793,0.0005284724,0.0004382572,0.00004717192,0.00003232392,0.0006796664,0.00001701961,0.0009489421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2489443,"threshold_uncertainty_score":0.805464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249371643320347,"score_gpt":0.2697415466687595,"score_spread":0.247247830235556,"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."}}