{"id":"W2020580780","doi":"10.1080/19440049.2011.645218","title":"Rapid sample preparation procedure for As speciation in food samples by LC-ICP-MS","year":2012,"lang":"en","type":"article","venue":"Food Additives & Contaminants Part A","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Certified reference materials; Chromatography; Genetic algorithm; Sonication; Fish <Actinopterygii>; Chemistry; Sample preparation; Inductively coupled plasma mass spectrometry; Detection limit; Environmental chemistry; Mass spectrometry; Biology; Fishery","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003843204,0.000225935,0.0002279606,0.00006519612,0.0001948101,0.00003853243,0.0001409331,0.0001246933,0.003026477],"category_scores_gemma":[0.0005363758,0.0002301439,0.0000792592,0.0002141173,0.00009253262,0.0009704394,0.00006319271,0.00009784925,0.0001810989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002655469,"about_ca_system_score_gemma":0.00003572558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007267181,"about_ca_topic_score_gemma":0.002002722,"domain_scores_codex":[0.9982862,0.00009694661,0.0003999576,0.0004108784,0.0003065882,0.0004994135],"domain_scores_gemma":[0.9990858,0.0003185143,0.0002410196,0.0001857365,0.00002823092,0.000140737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009034364,0.002905888,0.2369407,0.0001646315,0.0002393474,0.000001871652,0.04428648,0.00004156247,0.03274919,0.01408627,0.1985338,0.4691468],"study_design_scores_gemma":[0.001590582,0.001344976,0.3112627,0.00006521437,0.00002673022,0.000004638399,0.001398916,0.0003041606,0.03107921,0.0007475206,0.6517314,0.0004439859],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869716,0.0002469989,0.003980542,0.0002401018,0.0003949016,0.001849245,0.001183448,0.0000757589,0.005057396],"genre_scores_gemma":[0.9958985,0.00005321342,0.0005204267,0.0002451027,0.000220935,0.0005866569,0.001150741,0.00002560238,0.001298838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4687028,"threshold_uncertainty_score":0.9978849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184543607765995,"score_gpt":0.2617856178367751,"score_spread":0.2399401817591152,"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."}}