{"id":"W1878588904","doi":"10.1039/b202172b","title":"Determination of five arsenic species in aqueous samples by HPLC coupled with a hexapole collision cell ICP-MS","year":2002,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Arsenobetaine; Chemistry; Chromatography; Detection limit; Inductively coupled plasma mass spectrometry; High-performance liquid chromatography; Aqueous solution; Certified reference materials; Analytical Chemistry (journal); Mass spectrometry; Inductively coupled plasma; Plasma","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":[0.001080375,0.001292334,0.001136343,0.001433281,0.000544659,0.0005363454,0.001224295,0.0009581329,0.000814118],"category_scores_gemma":[0.0007924277,0.0007865994,0.000594184,0.0009378805,0.0005624375,0.0006248084,0.0009353738,0.0009604201,0.0005363774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007425658,"about_ca_system_score_gemma":0.0007848413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001390908,"about_ca_topic_score_gemma":0.002967217,"domain_scores_codex":[0.9975102,0.0002363155,0.0001429794,0.0006780529,0.001341541,0.00009094098],"domain_scores_gemma":[0.9994732,0.00009471641,0.00008303048,0.00004091623,0.0002796355,0.00002849248],"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":[0.00004050522,0.00002508102,0.0004236763,0.0001023698,0.00004026366,0.00003706493,0.00002883365,0.0001558448,0.9885964,0.00008065286,0.00007775284,0.01039151],"study_design_scores_gemma":[0.00002445219,0.0003529202,0.00306431,0.00001278033,0.00007889148,0.000552785,0.00004375514,0.006280855,0.9839933,0.0001936719,0.005353915,0.00004834263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4176512,0.006514224,0.5657736,0.0003280502,0.000320059,0.0006603781,0.001503331,0.003397434,0.00385176],"genre_scores_gemma":[0.3849105,0.004642758,0.5999891,0.0003577842,0.0001154142,0.0009040777,0.001149137,0.0001516741,0.007779684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001433281,"threshold_uncertainty_score":0.005713642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009028951745260227,"score_gpt":0.2155092990830367,"score_spread":0.2064803473377765,"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."}}