{"id":"W4401604787","doi":"10.1016/j.desal.2024.118020","title":"Enhanced performance of aerobic granular sludge-membrane system through the utilization of different iron-based nano-metal oxides for mitigating membrane fouling","year":2024,"lang":"en","type":"article","venue":"Desalination","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"National Natural Science Foundation of China","keywords":"Membrane fouling; Fouling; Membrane; Nano-; Chemical engineering; Metal; Materials science; Chemistry; Metallurgy; Engineering","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":[0.0001359628,0.0003440851,0.000394893,0.0001753037,0.000226787,0.0003464664,0.0002520473,0.0003669091,0.0004170565],"category_scores_gemma":[0.0001224401,0.0001295237,0.0003407325,0.0001385379,0.0001257853,0.0002136155,0.000226254,0.000299326,0.0001154388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002342568,"about_ca_system_score_gemma":0.0002822937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001615187,"about_ca_topic_score_gemma":0.002610205,"domain_scores_codex":[0.9998821,0.00001207794,0.00001139798,0.00002449213,0.0000348028,0.00003501444],"domain_scores_gemma":[0.9999526,0.000006345239,0.0000105976,0.000002935026,0.00001473889,0.00001282999],"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":[0.0001539729,0.00003818648,0.0001514395,0.00005251708,0.000007132184,0.0000288402,0.00001258647,0.0001663639,0.9982963,0.00002609842,0.00002010587,0.001046489],"study_design_scores_gemma":[0.00001240651,0.0002676357,0.001267456,0.000002890111,0.00001850457,0.0000259902,0.00002013894,0.001322103,0.9967188,0.00001542848,0.0003232434,0.000005378137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990487,0.0002012634,0.0004323146,0.00002389056,0.00001549745,0.000004751163,0.00004426698,0.00001999855,0.0002094252],"genre_scores_gemma":[0.9985906,0.0001775966,0.0006147478,0.00001325621,0.000002880536,0.000004639775,0.00005629057,0.00000299567,0.0005369831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001615187,"threshold_uncertainty_score":0.003211558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208478869360197,"score_gpt":0.2618587526326067,"score_spread":0.2397739639390047,"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."}}