{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001272552,0.0001664911,0.0001360714,0.0002710148,0.000119191,0.0002675076,0.00008371465,0.0001938664,0.0006011978],"category_scores_gemma":[0.0001800696,0.0001634127,0.000132078,0.0001632728,0.0001840445,0.0001469663,0.0000885586,0.000229645,0.0002002375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002105056,"about_ca_system_score_gemma":0.0001516862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003359729,"about_ca_topic_score_gemma":0.004894446,"domain_scores_codex":[0.9999242,0.000008628778,0.000003501002,0.00003455019,0.00001763251,0.00001157792],"domain_scores_gemma":[0.9998419,0.00002490691,0.00005036566,0.00001056264,0.00005484144,0.00001736686],"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":[0.001412904,0.00004837257,0.08832666,0.0001016813,0.00005548323,0.0001168887,0.0002395304,0.0001913977,0.9007863,0.00004224292,0.00008753411,0.008590985],"study_design_scores_gemma":[0.00001151369,0.001312941,0.7642913,0.00001623138,0.0001193095,0.0005964526,0.0004248342,0.001411084,0.2301784,0.00005923481,0.001562437,0.00001620661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982054,0.0006135506,0.0005241179,0.000013538,0.00000301874,0.000007616352,0.0001771711,0.00001587316,0.0004398139],"genre_scores_gemma":[0.9971417,0.0003129246,0.0009708705,0.00002268793,0.000002417508,0.00001133706,0.0003091551,0.00000757595,0.001221342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003359729,"threshold_uncertainty_score":0.006680369,"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."}}