{"id":"W1984490803","doi":"10.1080/10934529.2011.542401","title":"Low-level bromate analysis in drinking water by ion chromatography with optimized suppressed conductivity cell current followed by a post-column reaction and UV/Vis detection","year":2011,"lang":"en","type":"article","venue":"Journal of Environmental Science and Health Part A","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal; U.S. Environmental Protection Agency","keywords":"Bromate; Ultrapure water; Chemistry; Detection limit; Ion chromatography; Bromide; Iodate; Column chromatography; Chromatography; Absorbance; Conductometry; Effluent; Bromoform; Bromine; Inorganic chemistry; Iodide; Chloroform; Materials science; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008785056,0.0001633137,0.0002725531,0.0002144255,0.0003516354,0.00005084031,0.0000856354,0.00004379686,0.000137922],"category_scores_gemma":[0.000002503111,0.0001122851,0.00005830716,0.0003716244,0.0004324322,0.001149152,0.00006550043,0.000142933,0.000005117196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003615644,"about_ca_system_score_gemma":0.00001577644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000975549,"about_ca_topic_score_gemma":0.0003572076,"domain_scores_codex":[0.9983954,0.00007772102,0.0003508088,0.0003351003,0.0004826171,0.0003583379],"domain_scores_gemma":[0.9993457,0.00001033014,0.0002901413,0.0001015971,0.000006847646,0.0002454414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001879299,0.0006397066,0.3273135,0.00001227033,0.0000243104,0.000003718797,0.001540502,0.00002832325,0.6662419,1.03324e-7,0.00008137908,0.003926389],"study_design_scores_gemma":[0.001821611,0.001032768,0.7852428,0.00003203114,0.0001095338,0.00003202448,0.0003742232,0.0002243375,0.210751,0.00001648609,0.0001750803,0.0001881505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991472,0.0001233428,0.0002063386,0.00009469355,0.00009233053,0.0002494458,0.00001214508,0.000007003443,0.00006746102],"genre_scores_gemma":[0.9992692,0.0004507969,0.0001811591,0.00005112437,0.00001068374,0.000008979047,0.000008601148,0.000006983003,0.00001247188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4579293,"threshold_uncertainty_score":0.4578855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778519799904383,"score_gpt":0.234765957502989,"score_spread":0.2169807595039452,"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."}}