{"id":"W2109429284","doi":"10.1680/jees.2013.0013","title":"Electrochemical treatment of wastewaters containing 4-nitrocathecol using boron-doped diamond anodes","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electrochemistry; Electrolysis; Lead dioxide; Bulk electrolysis; Chemistry; Inorganic chemistry; Mineralization (soil science); Hydroxylation; Aqueous solution; Boron; Anode; Electrolyte; Electrode; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001867181,0.0002880896,0.0004739837,0.0002573127,0.000222719,0.0003191251,0.0004406724,0.0005380848,0.0004982202],"category_scores_gemma":[0.0002746531,0.0002093838,0.0002174347,0.0002780219,0.0001743392,0.0002489164,0.0002397374,0.0004094148,0.0001648056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004335342,"about_ca_system_score_gemma":0.0002666998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002415216,"about_ca_topic_score_gemma":0.004351808,"domain_scores_codex":[0.9997172,0.00003742441,0.00002036434,0.0000538274,0.000120406,0.00005086415],"domain_scores_gemma":[0.9998837,0.00003543297,0.0000162463,0.000006730435,0.00004461421,0.00001342154],"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":[0.00003656477,0.000007943181,0.0000823103,0.00004816903,0.000003568192,0.00002943169,0.00001469425,0.00005881301,0.9982427,0.00002074682,0.0000132537,0.001441791],"study_design_scores_gemma":[0.000006591742,0.00006582907,0.0006053531,0.000003578008,0.000006697942,0.00005934266,0.00003062688,0.0008341385,0.9977484,0.00002480649,0.0006106757,0.000003988961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906516,0.001776065,0.005610429,0.000137616,0.00007238953,0.00003387727,0.0002008038,0.00004979598,0.001467408],"genre_scores_gemma":[0.9847736,0.001677576,0.01081057,0.00006661429,0.00001669277,0.00002217913,0.0002235275,0.00001211144,0.002397052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002415216,"threshold_uncertainty_score":0.004802346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006293751448924047,"score_gpt":0.1978276554087545,"score_spread":0.1915339039598305,"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."}}