{"id":"W2252881090","doi":"10.1002/j.1551-8701.2011.tb03064.x","title":"Use Zeta Potential to Improve Direct Filtration Operation","year":2011,"lang":"en","type":"article","venue":"Opflow","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zeta potential; Filtration (mathematics); Environmental science; Water treatment; Environmental engineering; Pulp and paper industry; Mathematics; Engineering; Chemical engineering; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000100735,0.00008532176,0.00007127732,0.00002913096,0.00009094663,0.00005417554,0.0001641271,0.00006399695,0.00368445],"category_scores_gemma":[0.00007069991,0.00007644256,0.0000257163,0.0001191504,0.00004314323,0.0005498246,0.00009002924,0.00005279008,0.002362613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004799566,"about_ca_system_score_gemma":0.000005073094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000439808,"about_ca_topic_score_gemma":0.0001974905,"domain_scores_codex":[0.9992922,0.00002418339,0.0001297855,0.0002497228,0.0001603483,0.0001437689],"domain_scores_gemma":[0.9996206,0.000008077113,0.00003182686,0.0002833091,0.000006570213,0.0000496003],"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":[0.00003444793,0.00006936016,0.00263204,0.000002361236,0.000006875608,0.000005792223,0.0006235267,0.002203639,0.9557378,0.0002409908,0.009774718,0.02866844],"study_design_scores_gemma":[0.0001538359,0.000187584,0.0421307,0.000003382755,0.0000105807,0.00000357289,0.00005652495,0.005162644,0.945067,0.0002426815,0.006753176,0.0002282707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568156,0.000003561886,0.007075081,0.0002936448,0.0003484208,0.0004257536,0.00001034293,0.0002399233,0.03478765],"genre_scores_gemma":[0.9823001,0.000005416628,0.0134379,0.0002067989,0.00002483463,0.00003405555,0.0000105796,0.000008651136,0.003971671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03949866,"threshold_uncertainty_score":0.9984142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335746201545405,"score_gpt":0.2266742332777474,"score_spread":0.2033167712622934,"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."}}