{"id":"W3142995970","doi":"10.1021/acsomega.0c06091","title":"Characteristics, Accumulation, and Potential Health Risks of Antimony in Atmospheric Particulate Matter","year":2021,"lang":"en","type":"article","venue":"ACS Omega","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"China Postdoctoral Science Foundation; Ministry of Science and Technology of the People's Republic of China","keywords":"Antimony; Particulates; Environmental science; Environmental chemistry; Hazard quotient; Aerosol; Coal combustion products; Pollutant; Ingestion; Human health; Combustion; Environmental health; Chemistry; Geography; Meteorology; Heavy metals; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0001099908,0.0000471227,0.00009204252,0.000004620998,0.00003310952,0.00001068148,0.00002903168,0.00002486103,0.0003670303],"category_scores_gemma":[0.00002056027,0.0000487633,0.00001251044,0.0001168517,0.00004329888,0.0001160703,0.00005806872,0.00003889894,0.00005794657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003638447,"about_ca_system_score_gemma":0.00001180921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002645452,"about_ca_topic_score_gemma":0.00007854986,"domain_scores_codex":[0.9994374,0.00004256182,0.0001919186,0.0001302946,0.00009795533,0.00009988642],"domain_scores_gemma":[0.9997665,0.00001219365,0.00008298436,0.00009160143,0.000009459208,0.00003731453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003983983,0.0000520568,0.9743127,0.000009883867,0.000002828704,0.000005292797,0.0005539171,0.0002491195,0.003674963,0.00004159188,0.0002836663,0.02080999],"study_design_scores_gemma":[0.0002149852,0.00001163246,0.994756,0.000008966133,0.000003057249,0.00000380024,0.00006136017,0.003272444,0.0008749333,0.0001042442,0.0006401975,0.00004830773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979208,0.00002726949,0.0004798963,0.00115062,0.00005126919,0.0000682641,0.000003188993,0.000005667464,0.0002931007],"genre_scores_gemma":[0.9986324,0.00006325655,0.0005019109,0.0004784737,0.000008549855,0.00000242445,0.00001827266,0.000004299297,0.0002904491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02076168,"threshold_uncertainty_score":0.4018724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394390491228232,"score_gpt":0.2911948810930872,"score_spread":0.2672509761808049,"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."}}