{"id":"W3004828866","doi":"10.1016/j.jes.2020.01.023","title":"Arsenic species in electronic cigarettes: Determination and potential health risk","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Sciences","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Southwest University; Alberta Health; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Arsenic; Arsenate; Environmental chemistry; Arsenite; Chemistry; Inductively coupled plasma mass spectrometry; Inorganic arsenic; Detection limit; Electronic cigarette; Chromatography; Mass spectrometry","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":[],"consensus_categories":[],"category_scores_codex":[0.0006013264,0.00007927087,0.0001236736,0.00004697967,0.0001383449,0.0000281452,0.000146692,0.00002473423,0.000727977],"category_scores_gemma":[0.00004039871,0.00006735226,0.00004016629,0.0001527822,0.0003332222,0.0004635095,0.00007240981,0.0001617382,0.00001331874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002378362,"about_ca_system_score_gemma":0.00002477352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001623202,"about_ca_topic_score_gemma":0.00003993737,"domain_scores_codex":[0.9988168,0.0000943581,0.0003183185,0.0001643011,0.0004090672,0.0001970887],"domain_scores_gemma":[0.9994599,0.0000300778,0.0003552347,0.00003507757,0.000001247645,0.000118481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005604835,0.000188272,0.5272456,0.000006577272,0.0000111591,0.000028515,0.006470039,0.002950134,0.03449199,0.0001480784,0.0007640248,0.4276395],"study_design_scores_gemma":[0.0005940995,0.0008292862,0.9866991,0.00001109809,0.000007709084,0.00004685391,0.001523537,0.006769008,0.0007350015,0.0003052682,0.002372793,0.0001062277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960686,0.000135036,0.0004644077,0.002740441,0.00003745767,0.00008571216,0.000002399451,0.000003540038,0.0004623988],"genre_scores_gemma":[0.9979468,0.001032841,0.0003179035,0.0006135255,0.00003947479,7.168204e-7,5.898808e-7,0.00000334489,0.00004479901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4594535,"threshold_uncertainty_score":0.7970838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008337176803243246,"score_gpt":0.216692624467701,"score_spread":0.2083554476644577,"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."}}