{"id":"W2776912718","doi":"10.1021/acs.est.7b05081","title":"Metabolism of a Phenylarsenical in Human Hepatic Cells and Identification of a New Arsenic Metabolite","year":2017,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Calgary; University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Innovates; Alberta Health; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Metabolite; Arsenic; Chemistry; Metabolism; Primary metabolite; Environmental chemistry; Carcinogen; 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":[0.000112995,0.0002318389,0.0001049601,0.0002525368,0.0001394704,0.0001409329,0.00008939826,0.0002096373,0.001604968],"category_scores_gemma":[0.00008280588,0.0001295086,0.0001601938,0.000214062,0.0001255545,0.00009720963,0.00009947444,0.0001135893,0.0005872843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214148,"about_ca_system_score_gemma":0.0001604861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00173206,"about_ca_topic_score_gemma":0.002712767,"domain_scores_codex":[0.9999168,0.00001886157,0.00000680977,0.00002474335,0.00002170608,0.00001107735],"domain_scores_gemma":[0.9999548,0.000009517309,0.000009042728,0.000007527627,0.00001404155,0.00000499104],"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":[0.00005888322,0.000004783573,0.0004246449,0.00001902715,0.000003066761,0.0000844578,0.00002061702,0.00002225089,0.9983522,0.00001751072,0.00001958861,0.000972997],"study_design_scores_gemma":[0.000004568661,0.0002041039,0.009944299,0.000002432542,0.00001398474,0.0005134485,0.00007087553,0.0004556185,0.9875235,0.00002284424,0.001240684,0.000003603921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837362,0.001975237,0.01079953,0.0001263773,0.00001623549,0.00003715643,0.0006607175,0.0001258552,0.002522773],"genre_scores_gemma":[0.977747,0.001826771,0.01120571,0.00006945214,0.000007317243,0.00004245274,0.001386979,0.00001773733,0.007696558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00173206,"threshold_uncertainty_score":0.005369186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007180578474848542,"score_gpt":0.2441749428532389,"score_spread":0.2369943643783904,"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."}}