{"id":"W2999433913","doi":"10.1016/j.jfca.2020.103421","title":"Determination of chromium picolinate and trace hexavalent chromium in multivitamins and supplements by HPLC-ICP-QQQ-MS","year":2020,"lang":"en","type":"article","venue":"Journal of Food Composition and Analysis","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Chromium; Chemistry; Detection limit; Hexavalent chromium; Multivitamin; Inductively coupled plasma mass spectrometry; Chromatography; Extraction (chemistry); High-performance liquid chromatography; Mineral water; Mass spectrometry; Environmental chemistry; Vitamin; Metallurgy; Materials science","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":[0.0002269375,0.00009622335,0.000275958,0.000117325,0.00004506023,0.00003234333,0.0000515474,0.00004146643,0.00006183253],"category_scores_gemma":[0.00001079975,0.00008146441,0.000064297,0.0002905676,0.00007090597,0.0002328468,0.00004439908,0.00008453547,4.070595e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005100759,"about_ca_system_score_gemma":0.000004707251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004137629,"about_ca_topic_score_gemma":0.00006440948,"domain_scores_codex":[0.9990972,0.00007833918,0.0003549872,0.0001492911,0.0002264962,0.0000937271],"domain_scores_gemma":[0.9994816,0.00004340868,0.0003045925,0.00004173203,0.00001663715,0.0001120991],"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":[0.000111848,0.0002373313,0.1126672,0.0000600942,0.0001393046,0.000008231422,0.001084285,0.0001893358,0.8714853,0.000003682811,0.0001461623,0.01386725],"study_design_scores_gemma":[0.003249877,0.001721212,0.7794142,0.00005091894,0.0006907574,0.00002094262,0.0001906691,0.1175508,0.09664395,0.00003206034,0.0002153127,0.0002193492],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971688,0.0002437113,0.001708845,0.0007174399,0.00001493034,0.00009412247,0.00003201831,0.000002390994,0.00001770705],"genre_scores_gemma":[0.9988422,0.0002781704,0.0007453335,0.00008532812,0.00002461903,0.000001271647,0.00001511493,0.000003811921,0.000004174361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7748414,"threshold_uncertainty_score":0.3322022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007207334999005357,"score_gpt":0.2252484177417757,"score_spread":0.2180410827427703,"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."}}