{"id":"W2170849845","doi":"10.1680/jees.2013.0007","title":"Membrane-based treatment for tanning wastewaters","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wastewater; Microfiltration; Ultrafiltration (renal); Pulp and paper industry; Filtration (mathematics); Flocculation; Membrane; Membrane technology; Environmental science; Sewage treatment; Chemistry; Ecotoxicity; Pollutant; Waste management; Reverse osmosis; Environmental chemistry; Chromatography; Environmental engineering; Organic chemistry; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002418214,0.0004691596,0.0005590367,0.0003779258,0.000471335,0.0003684712,0.000255022,0.0005611914,0.0009545929],"category_scores_gemma":[0.0002544163,0.0001381936,0.000695903,0.0003561448,0.0001570342,0.0003634,0.0003169139,0.0004429933,0.0003943795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004647753,"about_ca_system_score_gemma":0.000323633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669358,"about_ca_topic_score_gemma":0.001840918,"domain_scores_codex":[0.9997274,0.0000548859,0.00001872294,0.00005710078,0.00009027787,0.00005149375],"domain_scores_gemma":[0.999951,0.00001043477,0.000008073439,0.000004811523,0.00001769339,0.000007971949],"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":[0.0000354033,0.00002106943,0.0001390386,0.0001108596,0.00001035086,0.0000205791,0.00001013061,0.0001553454,0.9962093,0.00003214893,0.00002447876,0.003231399],"study_design_scores_gemma":[0.000003993717,0.0001379206,0.001474368,0.000008052556,0.00001863012,0.00007818032,0.00001234844,0.0006244735,0.9960387,0.00003016211,0.001568033,0.000005093007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691277,0.005649796,0.02189372,0.0001701693,0.0001115206,0.0001611354,0.0003717111,0.0001716545,0.002342696],"genre_scores_gemma":[0.97596,0.003465799,0.01695389,0.00008144633,0.0000146548,0.00006572429,0.0003689421,0.00002985037,0.003059737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001669358,"threshold_uncertainty_score":0.003372252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006380895958306691,"score_gpt":0.19373491388802,"score_spread":0.1873540179297133,"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."}}