{"id":"W2091516114","doi":"10.4137/aci.s3148","title":"Liquid Chromatography with Post-Column Reagent Addition of Ammonia in Methanol Coupled to Negative Ion Electrospray Ionization Tandem Mass Spectrometry for Determination of Phenoxyacid Herbicides and their Degradation Products in Surface Water","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry Insights","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Chromatography; Chemistry; Selected reaction monitoring; Acetic acid; Electrospray ionization; Formic acid; Liquid chromatography–mass spectrometry; Ammonium acetate; Methanol; Tandem mass spectrometry; Solid phase extraction; Ion chromatography; Mass spectrometry; Reagent; High-performance liquid chromatography; Organic chemistry","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":[0.0007005362,0.001096649,0.0007858748,0.000744309,0.0004530868,0.0003866048,0.0008858779,0.000841815,0.001488518],"category_scores_gemma":[0.0006496945,0.0004383647,0.0004167004,0.0005521938,0.0004258119,0.0006914213,0.0006875041,0.0009000259,0.001284621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005475156,"about_ca_system_score_gemma":0.000863201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256252,"about_ca_topic_score_gemma":0.002392261,"domain_scores_codex":[0.9987704,0.0001704919,0.00006624172,0.000253928,0.0006543293,0.00008458977],"domain_scores_gemma":[0.9995099,0.000116249,0.00007763076,0.00002827977,0.0002189656,0.00004887527],"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":[0.0001055389,0.00003994349,0.0002818297,0.000087403,0.00001954041,0.00006362058,0.00001376494,0.00007767641,0.9915693,0.00006118389,0.0001298048,0.007550327],"study_design_scores_gemma":[0.00008667694,0.0006319758,0.005813501,0.00002427346,0.00007569158,0.001084247,0.00002949529,0.007268738,0.9779791,0.0001569812,0.006807515,0.00004185571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.612863,0.01881265,0.3502172,0.000718085,0.0007661879,0.001177402,0.00160451,0.006041554,0.007799432],"genre_scores_gemma":[0.6506813,0.01146364,0.3125873,0.001433061,0.0003817597,0.002303292,0.003031202,0.0003413754,0.01777713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001488518,"threshold_uncertainty_score":0.004979551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007184132512822154,"score_gpt":0.2187111401935471,"score_spread":0.2115270076807249,"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."}}