{"id":"W4280608227","doi":"10.1080/00032719.2022.2075883","title":"Quantification of Arsenic Species in Wheat Flour Samples by Ion Chromatography Coupled to High Resolution Inductively Coupled Plasma-Mass Spectrometry (IC-HR-ICP-MS)","year":2022,"lang":"en","type":"article","venue":"Analytical Letters","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Chemistry; Detection limit; Certified reference materials; Inductively coupled plasma mass spectrometry; Chromatography; Wheat flour; Arsenic; Mass spectrometry; Extraction (chemistry); Arsenate; Elution; Analytical Chemistry (journal); Food 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008964117,0.001059278,0.0006456385,0.00115513,0.0004700482,0.0005791158,0.0005781185,0.0008713316,0.0005821441],"category_scores_gemma":[0.0006199296,0.0004379157,0.0005464932,0.0008174891,0.0003877821,0.0003657497,0.0004940385,0.0005501914,0.0003478122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000446482,"about_ca_system_score_gemma":0.0005626871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002491789,"about_ca_topic_score_gemma":0.004067206,"domain_scores_codex":[0.9989091,0.0001411611,0.0000794085,0.0003270773,0.0004869415,0.00005629767],"domain_scores_gemma":[0.9997308,0.00004992695,0.00005440627,0.00002415705,0.0001286988,0.00001191754],"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":[0.00004949133,0.00002686151,0.001066267,0.0001705073,0.00002693937,0.00004913166,0.00004773385,0.0001721947,0.9909607,0.00007017211,0.00008842039,0.007271516],"study_design_scores_gemma":[0.00002714608,0.0006919798,0.01331872,0.00002369955,0.000103506,0.0007191819,0.00009335288,0.005645041,0.972389,0.0002310563,0.006711934,0.00004541662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7003073,0.004714746,0.2847766,0.0002130386,0.000187151,0.000730284,0.002420341,0.002652999,0.003997617],"genre_scores_gemma":[0.6028178,0.004324012,0.3850977,0.0003435422,0.00005677381,0.0006689067,0.001810786,0.000120953,0.004759553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002491789,"threshold_uncertainty_score":0.004954517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607752657699048,"score_gpt":0.2245957529403379,"score_spread":0.2085182263633474,"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."}}