{"id":"W2398877736","doi":"10.1002/cjce.22542","title":"MBBR followed by microfiltration and reverse osmosis as a compact alternative for advanced treatment of a pesticide‐producing industry wastewater towards reuse","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Reverse osmosis; Effluent; Moving bed biofilm reactor; Chemical oxygen demand; Microfiltration; Environmental science; Wastewater; Nanofiltration; Powdered activated carbon treatment; Industrial wastewater treatment; Reuse; Sewage treatment; Pulp and paper industry; Total suspended solids; Chemistry; Waste management; Environmental engineering; Activated carbon; Adsorption; Membrane; Engineering; Biofilm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001334164,0.00009184876,0.0001498686,0.0000403247,0.00002928287,0.00001211054,0.0001976105,0.00007851537,0.00008897536],"category_scores_gemma":[0.0005886607,0.00005435322,0.00004161088,0.00006432257,0.00008405362,0.0001265907,0.00001303782,0.00008420627,0.000001455497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003269849,"about_ca_system_score_gemma":0.00006523997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391305,"about_ca_topic_score_gemma":0.00009419212,"domain_scores_codex":[0.9994209,0.000008599436,0.0002063124,0.00009341908,0.0001183003,0.0001524673],"domain_scores_gemma":[0.999491,0.00007564758,0.0001111725,0.0001475241,0.00001795967,0.0001567224],"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":[0.00002422739,0.000006240221,0.0008094276,0.000005162042,0.00002349782,0.000003995604,0.0003951615,0.001179172,0.9951685,0.00001047227,0.0006485517,0.001725593],"study_design_scores_gemma":[0.0005385333,0.0001242367,0.0002011781,0.00007177269,0.00001828236,0.00003819211,0.00002481783,0.0002424775,0.9978561,0.0001149786,0.0006993106,0.00007005571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964352,0.0000733989,0.0001719621,0.003101366,0.000049266,0.000121806,0.00001210136,0.000006210227,0.00002867759],"genre_scores_gemma":[0.9989243,0.00001122232,0.0009248189,0.0000256603,0.00002527143,0.000004004102,7.859319e-7,0.000008768938,0.00007518299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003075706,"threshold_uncertainty_score":0.221646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244554262792909,"score_gpt":0.2259989989550893,"score_spread":0.2135534563271602,"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."}}