{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004417849,0.000289633,0.0001821397,0.001095268,0.0004359924,0.0006994605,0.0003507324,0.001071722,0.001252937],"category_scores_gemma":[0.0004976992,0.0002161375,0.0002780824,0.0004785773,0.0002685622,0.0003444533,0.0003672059,0.0002818346,0.0003728262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002984381,"about_ca_system_score_gemma":0.0004127039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001868411,"about_ca_topic_score_gemma":0.002230153,"domain_scores_codex":[0.9996982,0.0001256431,0.00001830961,0.00004116234,0.0000831399,0.00003348345],"domain_scores_gemma":[0.9998084,0.0000502005,0.00003968816,0.00001328806,0.00006297015,0.00002551832],"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":[0.003862908,0.0009262235,0.3300512,0.0005192594,0.0004962393,0.001834132,0.0006575924,0.003625756,0.5521196,0.005786985,0.001057765,0.09906244],"study_design_scores_gemma":[0.00004172171,0.003877546,0.1966593,0.0001420345,0.0005325812,0.004601243,0.001996084,0.01411301,0.7516186,0.005117922,0.02120633,0.00009356935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812483,0.007330911,0.004115493,0.0004364283,0.0001046943,0.00004276563,0.0003075164,0.00004572205,0.006368145],"genre_scores_gemma":[0.9925069,0.002424771,0.001172601,0.0000754305,0.00003168408,0.000009490424,0.00009440501,0.000004307196,0.003680339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001868411,"threshold_uncertainty_score":0.004191518,"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."}}