{"id":"W1993805502","doi":"10.1007/s10661-013-3481-z","title":"UV/H2O2 oxidation of arsenic and terbuthylazine in drinking water","year":2013,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trojan Technologies (Canada)","funders":"","keywords":"Arsenic; Chemistry; Terbuthylazine; Hydrogen peroxide; Environmental chemistry; Advanced oxidation process; Arsenic contamination of groundwater; Environmental remediation; Atrazine; Contamination; Pesticide; Organic chemistry; Catalysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001217684,0.00009044463,0.00009056218,0.00003224597,0.00005626637,0.00001899345,0.00003865402,0.00003424991,0.0003970887],"category_scores_gemma":[0.000002165121,0.00007609545,0.00001327547,0.00002584618,0.00008459501,0.0002602266,0.0001341761,0.00007924804,0.0000284016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001185646,"about_ca_system_score_gemma":0.000001491025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001475254,"about_ca_topic_score_gemma":0.000005595992,"domain_scores_codex":[0.9993018,0.00002932506,0.0001805396,0.0001897013,0.0001617996,0.0001368469],"domain_scores_gemma":[0.9998054,0.00001711703,0.00004438716,0.00008255104,0.000001041859,0.00004951998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[8.870156e-7,0.00003481395,0.5356019,0.000003065542,0.000002292425,5.859642e-7,0.0003798605,0.00001780246,0.4158612,0.00001137973,0.000003444808,0.04808271],"study_design_scores_gemma":[0.0003104811,0.00004013465,0.9153448,0.00001844279,0.000004445001,0.000002343629,0.0006942184,0.0003980038,0.08271655,0.0001484275,0.0002357963,0.00008634298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985113,0.00003454342,0.0001095867,0.000170673,0.00006725155,0.0001739068,5.319065e-7,0.000008329167,0.0009239106],"genre_scores_gemma":[0.9979705,0.0001177127,0.001483325,0.00001393777,0.00002020177,0.00003031423,0.000007487033,0.000006940058,0.0003496324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3797429,"threshold_uncertainty_score":0.4347843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005864682115921662,"score_gpt":0.223610724907141,"score_spread":0.2177460427912193,"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."}}