{"id":"W2145215314","doi":"10.1093/toxsci/kfr246","title":"Mouse Arsenic (+3 Oxidation State) Methyltransferase Genotype Affects Metabolism and Tissue Dosimetry of Arsenicals after Arsenite Administration in Drinking Water","year":2011,"lang":"en","type":"article","venue":"Toxicological Sciences","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institutes of Health; University of Nebraska Medical Center; University of Alberta; Canadian Institutes of Health Research; Alberta Water Research Institute; U.S. Environmental Protection Agency","keywords":"Arsenic; Methyltransferase; Arsenite; Methylation; Arsenic toxicity; Chemistry; Toxicity; Metabolism; Kidney; Sodium arsenite; Biochemistry; Biology; Endocrinology","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":[0.0009078033,0.0001386348,0.0001963899,0.00008709238,0.0001140459,0.00002357207,0.0001543128,0.0001016125,0.003052829],"category_scores_gemma":[0.00006787587,0.00009440459,0.00003435396,0.0002957163,0.0006213953,0.0003708916,0.0001331357,0.00009702006,0.00006850184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006249018,"about_ca_system_score_gemma":0.00001188472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007513553,"about_ca_topic_score_gemma":0.0009956183,"domain_scores_codex":[0.9984625,0.0002012108,0.0003169478,0.0004013474,0.0003273744,0.00029064],"domain_scores_gemma":[0.9995908,0.0001017025,0.00008005027,0.0001131348,0.000008743498,0.0001055843],"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":[0.00009421438,0.0001460447,0.02445954,0.000005197754,0.000003713127,0.00001295442,0.001628022,0.00002968327,0.9547324,0.0003344114,0.00000507413,0.01854878],"study_design_scores_gemma":[0.000235796,0.0002326493,0.3102829,0.000004755924,0.00001001899,0.00000499468,0.00006455962,0.000170506,0.6877498,0.000940875,0.0001805746,0.0001226051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969333,0.00004394714,0.0005143353,0.0001146058,0.00005250809,0.0003266315,0.000002680575,0.00002682831,0.001985163],"genre_scores_gemma":[0.9973931,0.00004151985,0.00206795,0.0001695279,0.000008232277,0.00003015053,0.000004566243,0.000004770334,0.0002801346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2858233,"threshold_uncertainty_score":0.9978585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250920996246939,"score_gpt":0.2583200374929739,"score_spread":0.2358108275305045,"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."}}