{"id":"W2463214277","doi":"10.5935/0103-5053.20160039","title":"UV-Assisted Digestion of Petrochemical Industry Effluents Prior to the Determination of Zn, Cd, Pb and Cu by Differential Pulse Anodic Stripping Voltammetry","year":2016,"lang":"en","type":"article","venue":"Journal of the Brazilian Chemical Society","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"Fundação de Amparo à Pesquisa do Estado da Bahia; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Anodic stripping voltammetry; Stripping (fiber); Petrochemical; Effluent; Voltammetry; Anode; Environmental chemistry; Chemistry; Environmental science; Materials science; Electrode; Environmental engineering; Electrochemistry","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":[0.0005303409,0.0004817156,0.0005323082,0.0004461939,0.000297691,0.0004232676,0.000404415,0.0005887563,0.0005762986],"category_scores_gemma":[0.0008794679,0.0003976483,0.0003249048,0.000447793,0.0003207086,0.0001851579,0.0002819905,0.0006388945,0.0002750066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002543181,"about_ca_system_score_gemma":0.0004142705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009542965,"about_ca_topic_score_gemma":0.002228597,"domain_scores_codex":[0.9992605,0.0001831407,0.00006075832,0.0001761665,0.0002762126,0.00004319856],"domain_scores_gemma":[0.9996876,0.0001108731,0.0000387712,0.00003740535,0.0001089741,0.00001657391],"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":[0.00006884531,0.00002505719,0.0003655979,0.00009080676,0.000009022593,0.0000259254,0.00002649799,0.00009600503,0.9936641,0.00002648092,0.00001798328,0.005583697],"study_design_scores_gemma":[0.000006306576,0.00016028,0.003279771,0.000008937316,0.00002358449,0.0001773897,0.00002598008,0.001473568,0.9937572,0.00005354637,0.00102615,0.000007297834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231912,0.003088491,0.0710474,0.0001156834,0.00008299062,0.0001246679,0.0003126065,0.0001961412,0.001840758],"genre_scores_gemma":[0.8829181,0.0031198,0.1099905,0.0001451919,0.00003022662,0.0001862894,0.0003084631,0.00003508851,0.003266491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009542965,"threshold_uncertainty_score":0.002804756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006652316915843622,"score_gpt":0.238546332683036,"score_spread":0.2318940157671924,"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."}}