{"id":"W2082838892","doi":"10.1021/es071022p","title":"Arsenic Speciation Analysis of Cultivated White Button Mushrooms (<i>Agaricus bisporus</i>) Using High-Performance Liquid Chromatography−Inductively Coupled Plasma Mass Spectrometry, and X-ray Absorption Spectroscopy","year":2007,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Chemistry; Agaricus bisporus; Arsenate; Inductively coupled plasma mass spectrometry; Arsenic; Arsenite; Arsenobetaine; High-performance liquid chromatography; Environmental chemistry; Mass spectrometry; Chromatography; Mushroom; Microwave digestion; Detection limit; Food science; 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":[0.00009558995,0.0005880463,0.0002687592,0.0003773135,0.0002198452,0.000415671,0.0002019407,0.0001997362,0.0005008524],"category_scores_gemma":[0.0001324211,0.000171643,0.0002205548,0.0004371058,0.0002116992,0.0002338257,0.0002221959,0.0002764756,0.0001866677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002354703,"about_ca_system_score_gemma":0.0001681293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003052005,"about_ca_topic_score_gemma":0.002912691,"domain_scores_codex":[0.9998857,0.00001628241,0.00001036517,0.00003730126,0.00003597148,0.00001436208],"domain_scores_gemma":[0.9998732,0.00002036816,0.00003237209,0.000009799311,0.00003280814,0.0000314495],"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":[0.00004937837,0.000006578322,0.0003666589,0.00001236076,0.000002695089,0.00001349922,0.000007766089,0.00001869611,0.9991959,0.000003956259,0.000004133706,0.0003183469],"study_design_scores_gemma":[0.000008424795,0.0002884832,0.04578546,0.000006194259,0.0000280988,0.0001211417,0.00008976057,0.0005588772,0.9524961,0.00002623927,0.0005815679,0.000009704862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960933,0.0002982689,0.002009877,0.0000259237,0.000005021342,0.00002509135,0.000724289,0.00007637405,0.000741771],"genre_scores_gemma":[0.9905861,0.0006225252,0.005210651,0.0000453846,0.000007861866,0.00005751795,0.001708517,0.00004107354,0.00172024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003052005,"threshold_uncertainty_score":0.006068468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004888314248758057,"score_gpt":0.2110890331207169,"score_spread":0.2062007188719589,"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."}}