{"id":"W4413303641","doi":"10.5194/egusphere-2025-3847","title":"Reviews and syntheses: Artisanal small-scale gold mining (ASGM)-derived mercury contamination in agricultural systems: what we know and need to know ","year":2025,"lang":"en","type":"article","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Geological Survey of Canada","funders":"School of Graduate Studies, Queen's University","keywords":"Mercury (programming language); Gold mining; Agriculture; Need to know; Contamination; Mercury contamination; Environmental planning; Environmental science; Environmental chemistry; Chemistry; Geography; Computer science; Biology; Archaeology; Ecology; Computer security","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":[0.001749586,0.001424279,0.002140127,0.005398107,0.0005678775,0.003223368,0.001359247,0.002066215,0.01232276],"category_scores_gemma":[0.007933541,0.0005180755,0.00138721,0.007450555,0.001051976,0.003168523,0.001467289,0.002706014,0.003714895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180475,"about_ca_system_score_gemma":0.005506895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004032152,"about_ca_topic_score_gemma":0.004806727,"domain_scores_codex":[0.9988241,0.0002480066,0.000255263,0.0002339643,0.0003431976,0.00009554888],"domain_scores_gemma":[0.9906499,0.005989163,0.001023213,0.0003402296,0.001699471,0.0002981381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001397102,0.00006409784,0.0002543702,0.2410216,0.000470548,0.0002302048,0.0006810723,0.0005505733,0.001867372,0.01164453,0.1985322,0.5445437],"study_design_scores_gemma":[0.000008322841,0.00003421708,0.0005386584,0.03394441,0.0003094366,0.0002161996,0.0001914739,0.00004406122,0.0002347104,0.002110536,0.9623436,0.00002433343],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008009489,0.9953116,0.0001335356,0.001380302,0.001627061,0.000009332975,0.0001456077,0.00001544425,0.001297047],"genre_scores_gemma":[0.0007054246,0.996157,0.0001916717,0.001163607,0.0009865123,0.00002096311,0.0001288526,0.000008698147,0.0006372744],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01232276,"threshold_uncertainty_score":0.0412237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002093340301095,"score_gpt":0.256022961046276,"score_spread":0.2360020276432651,"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."}}