{"id":"W4408243957","doi":"10.1021/acs.est.4c10521","title":"Tracing Atmospheric Mercury from Artisanal and Small-Scale Gold Mining","year":2025,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; Queen's University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l’Environnement, de la Protection de la nature et des Parcs; United States Agency for International Development","keywords":"Mercury (programming language); Environmental chemistry; Environmental science; Gold mining; Pollution; Vegetation (pathology); Ecosystem; Terrestrial ecosystem; Atmosphere (unit); Air pollution; Elemental mercury; Chemistry; Ecology; Geography; Meteorology","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":[0.0001201098,0.000230961,0.0001299886,0.0004509531,0.0003544908,0.0002984816,0.0002732417,0.000285236,0.0004934869],"category_scores_gemma":[0.000206766,0.00009263025,0.0001222572,0.0005021479,0.0002354834,0.000173228,0.0004634364,0.000161736,0.0001202928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002759834,"about_ca_system_score_gemma":0.0001659054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01528235,"about_ca_topic_score_gemma":0.04278627,"domain_scores_codex":[0.9999026,0.00001654644,0.000002683475,0.00003445964,0.00002886303,0.00001480603],"domain_scores_gemma":[0.9999369,0.00001498505,0.00001556431,0.000006955142,0.00001900918,0.00000652096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001559056,0.00006209949,0.7491602,0.0001496897,0.000108559,0.0004803826,0.001659668,0.0009585242,0.2245325,0.0001699232,0.0002431212,0.02231943],"study_design_scores_gemma":[0.000006659406,0.0001497574,0.9752965,0.000013248,0.00003560988,0.0002328713,0.0008978808,0.001914751,0.01877901,0.0001633413,0.002500408,0.00001007488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983455,0.0001110972,0.0004469416,0.00001852631,0.000001228165,0.000005833232,0.0001221762,0.00001256132,0.0009361295],"genre_scores_gemma":[0.9988936,0.00009594618,0.0005086506,0.00001423683,0.000001963544,0.000005174662,0.0001379979,0.000004376768,0.0003381344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01528235,"threshold_uncertainty_score":0.03038681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006646163395320418,"score_gpt":0.221214280573464,"score_spread":0.2145681171781435,"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."}}