{"id":"W2131854030","doi":"10.5539/jsd.v1n1p31","title":"Zinc Bioremoval from Wastewater of Rubber Glove Industry","year":2009,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Ciencia, Tecnología y Medio Ambiente","keywords":"Effluent; Zinc; Pulp and paper industry; Anaerobic digestion; Wastewater; Heavy metals; Chemistry; Hydraulic retention time; Natural rubber; Metal ions in aqueous solution; Waste management; Environmental science; Metal; Environmental chemistry; Environmental engineering; Organic chemistry","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":[0.0001890812,0.0001057591,0.0001940905,0.0001782329,0.00003667235,0.00003354897,0.0001129188,0.0001271467,0.0002693597],"category_scores_gemma":[0.00002967646,0.00008946702,0.00004217089,0.0001787557,0.00001129284,0.0003508592,0.00001101303,0.0002834481,0.00001016952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001707075,"about_ca_system_score_gemma":0.000208911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002789257,"about_ca_topic_score_gemma":6.101483e-7,"domain_scores_codex":[0.9989656,0.00001008287,0.0005259295,0.00005906501,0.0002531015,0.0001862218],"domain_scores_gemma":[0.9993359,0.00001799811,0.0001514516,0.0000665716,0.0003413884,0.00008670895],"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":[0.001301996,0.002077647,0.01355808,0.001713231,0.002452233,0.005393012,0.05689145,0.1386337,0.4113885,0.009579448,0.2625989,0.09441174],"study_design_scores_gemma":[0.001372932,0.0001461794,0.04010941,0.0001532386,0.0000404655,0.0001322051,0.01515311,0.0003098398,0.5835354,0.003147375,0.3554869,0.000412928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925442,0.0004050132,0.0006983141,0.0002871901,0.0001822609,0.00005478737,7.299346e-7,0.00002178304,0.005805695],"genre_scores_gemma":[0.9915951,0.00003983363,0.004702343,0.00008624093,0.00007629144,7.330605e-7,0.000002255239,0.00000917266,0.003488014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1721469,"threshold_uncertainty_score":0.3648359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008880716452570126,"score_gpt":0.2265968125259272,"score_spread":0.2177160960733571,"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."}}