{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003907495,0.0001961733,0.0001568444,0.003648529,0.0001384534,0.0004231913,0.0001612792,0.0003054936,0.00036217],"category_scores_gemma":[0.0006019056,0.0001139065,0.0002555219,0.002059935,0.0001424031,0.000243662,0.0001892038,0.0001070149,0.0001575104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180212,"about_ca_system_score_gemma":0.0002754463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005781682,"about_ca_topic_score_gemma":0.006773799,"domain_scores_codex":[0.9997565,0.00003064445,0.00003204752,0.00006196969,0.000102025,0.00001675795],"domain_scores_gemma":[0.9996279,0.00009490568,0.0001321725,0.00001393228,0.0001174908,0.00001352307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004677812,0.0000735661,0.5336804,0.001531904,0.0002801359,0.0009348948,0.0004085899,0.001120222,0.3859217,0.0002240824,0.0008073201,0.07454936],"study_design_scores_gemma":[0.000009087351,0.0004082256,0.909615,0.00005199434,0.0003446132,0.001141554,0.0004463067,0.001992034,0.08053921,0.000168453,0.005257646,0.00002580488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892089,0.004476717,0.001372845,0.00005101697,0.000007120339,0.00003064534,0.003243783,0.00004195842,0.001567019],"genre_scores_gemma":[0.9902906,0.003953219,0.001940193,0.00004302764,0.00001718158,0.00003580408,0.002843526,0.000009701029,0.0008667291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005781682,"threshold_uncertainty_score":0.01149607,"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."}}