{"id":"W2326857758","doi":"10.1289/ehp.1510530","title":"Arsenic Species in Chicken Breast: Temporal Variations of Metabolites, Elimination Kinetics, and Residual Concentrations","year":2016,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Canadian Institutes of Health Research; China Scholarship Council; Alberta Livestock and Meat Agency; Canada Research Chairs; Poultry Industry Council","keywords":"Arsenobetaine; Arsenic; Arsenite; Metabolite; Animal science; Chemistry; Arsenate; Inorganic arsenic; Biology; Food science; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002274076,0.0001155099,0.0001558795,0.00007173912,0.00009928444,0.000007665996,0.00006910446,0.00004424157,0.001222207],"category_scores_gemma":[0.00003479455,0.00009828225,0.00002713625,0.0001075894,0.0004316899,0.0002995406,0.00006940077,0.00006515885,0.00003578626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005344506,"about_ca_system_score_gemma":0.00002123072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002080793,"about_ca_topic_score_gemma":0.0005892824,"domain_scores_codex":[0.99879,0.0001368599,0.0003351776,0.0002948144,0.0002426434,0.0002005485],"domain_scores_gemma":[0.9995115,0.00008549294,0.0001700571,0.0001366541,0.000004092607,0.00009219445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008018443,0.001541351,0.6431446,0.00002538968,0.00003294412,0.00000296819,0.04185364,0.00003197888,0.1918318,0.04969626,0.0005403185,0.07121857],"study_design_scores_gemma":[0.0007006674,0.0001145582,0.9905601,0.00002120384,0.000006193848,0.000008765258,0.005146869,0.00008358609,0.00144265,0.0006273089,0.001179186,0.0001089405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861129,0.0004893236,0.001715076,0.009240854,0.00005800901,0.0004907437,0.0002040765,0.00002252104,0.001666528],"genre_scores_gemma":[0.9970528,0.0006419221,0.001216703,0.00006762088,0.00003134195,0.00001761172,0.00003347518,0.000009567071,0.0009289982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3474154,"threshold_uncertainty_score":0.9996908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008626100680634284,"score_gpt":0.2382678643392109,"score_spread":0.2296417636585766,"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."}}