{"id":"W2780876125","doi":"10.1016/j.envpol.2017.10.132","title":"Manganese and lead levels in settled dust in elementary schools are correlated with biomarkers of exposure in school-aged children","year":2017,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Fundação de Amparo à Pesquisa do Estado da Bahia; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Manganese; Environmental chemistry; Chemistry; Graphite furnace atomic absorption; Pollution; Animal science; Atomic absorption spectroscopy; Geometric mean; Road dust; Mineralogy; Particulates; Physics; Mass spectrometry; Mathematics; Ecology; Biology; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003458615,0.0004652017,0.0005292025,0.001215032,0.0004626528,0.001223439,0.0004165171,0.000594606,0.001182475],"category_scores_gemma":[0.00199844,0.0007392467,0.0003954785,0.001065022,0.0005162925,0.0004822215,0.0005457813,0.0006123867,0.0003820844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000396427,"about_ca_system_score_gemma":0.0004633892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005194,"about_ca_topic_score_gemma":0.01097335,"domain_scores_codex":[0.9995456,0.000076599,0.0000654637,0.0001143827,0.0001037231,0.00009425191],"domain_scores_gemma":[0.998414,0.0002560892,0.0007439864,0.00007002312,0.0002798295,0.0002359661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003128734,0.00009129132,0.9945605,0.00002425699,0.00004722479,0.00009865298,0.0003093309,0.00004265289,0.003449541,0.00002163614,0.00004741261,0.0009946191],"study_design_scores_gemma":[0.000002878413,0.00009490371,0.9988077,0.000002671003,0.00002138828,0.0001072266,0.0002714054,0.00003988418,0.000562157,0.00001594476,0.00007173607,0.000002222798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994776,0.0002022337,0.00004692871,0.00001333759,0.000003203465,0.000002191411,0.00008527373,0.000004975924,0.0001642447],"genre_scores_gemma":[0.9992738,0.0001131284,0.00007834926,0.000008559782,0.000003100393,0.000003914987,0.0001007552,0.000002692258,0.0004156642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01005194,"threshold_uncertainty_score":0.01998687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008854261116808815,"score_gpt":0.2137679390113484,"score_spread":0.2049136778945396,"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."}}