{"id":"W3013906286","doi":"10.1016/j.jes.2020.03.004","title":"Electronic cigarettes and toxic substances, including arsenic species","year":2020,"lang":"en","type":"editorial","venue":"Journal of Environmental Sciences","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Arsenic; Environmental chemistry; Toxicology; Environmental health; Chemistry; Environmental science; Medicine; Biology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001399363,0.0003921122,0.0006407623,0.0000935384,0.0003940382,0.0001526155,0.0008740565,0.0003059286,0.001651587],"category_scores_gemma":[0.0002950258,0.0003055934,0.0002157261,0.0003131561,0.001565196,0.0007588019,0.0004899038,0.001139474,0.00007542857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006089337,"about_ca_system_score_gemma":0.000120388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002528117,"about_ca_topic_score_gemma":0.00006029872,"domain_scores_codex":[0.995685,0.000157666,0.0007604435,0.0005527295,0.002215887,0.0006282763],"domain_scores_gemma":[0.9982181,0.0004366939,0.0008564309,0.0001575814,0.000004893768,0.0003262857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001186344,0.0002570458,0.02623053,0.00003376061,0.0001513914,0.0001774327,0.0008141445,0.000119242,0.03248972,0.00004857559,0.9232798,0.01627975],"study_design_scores_gemma":[0.0005581761,0.001778263,0.02375221,0.00008513873,0.0001137974,0.00006088139,0.000301306,0.00002758861,0.003916757,0.000817697,0.968027,0.000561218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8490784,0.00337284,0.00002043476,0.0006457504,0.1418656,0.0002327677,0.00006322936,0.00002072225,0.004700337],"genre_scores_gemma":[0.8719445,0.00497249,0.0002514371,0.0001669216,0.1220923,0.000002368102,0.000005845357,0.00002806119,0.0005360832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0447472,"threshold_uncertainty_score":0.9999396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519618175507034,"score_gpt":0.241167960346157,"score_spread":0.2259717785910867,"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."}}