{"id":"W2940598562","doi":"10.1002/pat.4626","title":"Cellulose acetate nanocomposite ultrafiltration membranes tailored with hydrous manganese dioxide nanoparticles for water treatment applications","year":2019,"lang":"en","type":"article","venue":"Polymers for Advanced Technologies","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Membrane; Ultrafiltration (renal); Nanocomposite; Cellulose acetate; Materials science; Chemical engineering; Permeation; Contact angle; Nanoparticle; Cellulose; Fouling; Manganese; Regenerated cellulose; Nuclear chemistry; Chromatography; Chemistry; Nanotechnology; Composite material; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00008699041,0.000285635,0.0001622253,0.0001621729,0.0001218341,0.0002022227,0.0001408225,0.0002806363,0.0004767544],"category_scores_gemma":[0.00009733652,0.0001306191,0.0002154881,0.0001109585,0.00009024665,0.0002167533,0.0001195608,0.0002658387,0.0001318533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000346911,"about_ca_system_score_gemma":0.0001610656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279666,"about_ca_topic_score_gemma":0.003416409,"domain_scores_codex":[0.9999434,0.000004249091,0.000003503133,0.00001401065,0.00002172687,0.00001325669],"domain_scores_gemma":[0.9999564,0.000006190112,0.00001586072,0.000002348807,0.00001105464,0.000008170357],"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":[0.000008737559,0.00000543345,0.00003139005,0.00001858186,0.000001717528,0.00001024173,0.000002479862,0.00004770867,0.9993299,0.00002208583,0.00001481762,0.0005069263],"study_design_scores_gemma":[0.000003306902,0.00004106722,0.0009610005,0.000002199431,0.000006414523,0.00004496522,0.000006655542,0.001069524,0.9968431,0.000009947626,0.001008997,0.000002808678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890104,0.00116515,0.007744552,0.00008317395,0.00003547432,0.00002418317,0.0001354731,0.0001225126,0.001679065],"genre_scores_gemma":[0.9892504,0.0007277435,0.006917156,0.00004528254,0.000009295694,0.00002648753,0.0001316888,0.00002260652,0.002869278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001279666,"threshold_uncertainty_score":0.002544403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007457123705336665,"score_gpt":0.2252008024201846,"score_spread":0.217743678714848,"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."}}