{"id":"W2003835305","doi":"10.1016/j.talanta.2009.08.025","title":"Determination of total arsenic and arsenic (III) in phosphate fertilizers and phosphate rocks by HG-AAS after multivariate optimization based on Box-Behnken design","year":2009,"lang":"en","type":"article","venue":"Talanta","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Arsenic; Chemistry; Certified reference materials; Hydrochloric acid; Atomic absorption spectroscopy; Box–Behnken design; Phosphate; Slurry; Detection limit; Chromatography; Environmental chemistry; Response surface methodology; Inorganic chemistry; Environmental engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001583636,0.0007977057,0.001163558,0.0003540386,0.0006108091,0.0005644081,0.0004208567,0.0005604858,0.0005431473],"category_scores_gemma":[0.001089331,0.000518844,0.001030596,0.0005277799,0.000467852,0.0003382495,0.0002860318,0.0006036735,0.0001664908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004664081,"about_ca_system_score_gemma":0.0008643607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004013302,"about_ca_topic_score_gemma":0.007437308,"domain_scores_codex":[0.9990321,0.0003284079,0.00006732381,0.0002484674,0.0002645802,0.00005913201],"domain_scores_gemma":[0.9996458,0.0001938353,0.0000375906,0.00002089835,0.00008942957,0.00001256894],"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":[0.00250289,0.000429617,0.004609533,0.0003816545,0.0002513234,0.00006758088,0.0002050157,0.0335556,0.9004133,0.00053253,0.0001727686,0.05687816],"study_design_scores_gemma":[0.00008186965,0.0009227358,0.0076617,0.000007172531,0.0001121452,0.00007323639,0.00006839794,0.1976678,0.792215,0.0003455242,0.0007863704,0.00005811992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.813817,0.0004369389,0.183838,0.00007580096,0.0000519219,0.0001679682,0.0002697173,0.0005343844,0.000808194],"genre_scores_gemma":[0.8128282,0.000420924,0.1845264,0.00003963849,0.00001082466,0.0002932336,0.0002272097,0.00004975973,0.001603804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004013302,"threshold_uncertainty_score":0.008375168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006567167518144777,"score_gpt":0.213670809382614,"score_spread":0.2071036418644692,"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."}}