{"id":"W3128045437","doi":"10.1039/d0em00494d","title":"Characterization of inhalation exposure to gaseous elemental mercury during artisanal gold mining and e-waste recycling through combined stationary and personal passive sampling","year":2021,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; Toronto Public Health","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd; University of Toronto","keywords":"Mercury (programming language); Elemental mercury; Gold mining; Waste management; Environmental science; Environmental chemistry; Norwegian; Chemistry; Engineering","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":[0.0003073358,0.0002814657,0.0002445826,0.0005336191,0.0002261448,0.0003511675,0.0003023821,0.0003744269,0.0005670686],"category_scores_gemma":[0.0004453116,0.0001580099,0.0002414774,0.0003892376,0.0002367488,0.000168065,0.0003924206,0.0001598767,0.0001698881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001082748,"about_ca_system_score_gemma":0.0001520075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003147544,"about_ca_topic_score_gemma":0.008372678,"domain_scores_codex":[0.9996599,0.00007599413,0.00001646857,0.00009848618,0.0001140312,0.00003508158],"domain_scores_gemma":[0.9997769,0.00005505087,0.00005745858,0.00002354832,0.00007107031,0.0000160224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000728267,0.0002394505,0.6561878,0.0001246336,0.000146075,0.0002767089,0.001662232,0.000564271,0.3015958,0.00006260437,0.0001001871,0.03831197],"study_design_scores_gemma":[0.000007446989,0.001452857,0.9417781,0.00001279785,0.00009323989,0.0005656313,0.0008244843,0.001634682,0.05292347,0.00007705489,0.0006136959,0.00001654693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986075,0.00004169346,0.0008777865,0.000005289417,8.395909e-7,0.00001164341,0.00009526451,0.00000758086,0.0003524464],"genre_scores_gemma":[0.9976156,0.00005625207,0.001480739,0.0000128754,0.000002949844,0.00001543426,0.0001535679,0.000006079773,0.0006565275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003147544,"threshold_uncertainty_score":0.006258428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076695475852983,"score_gpt":0.2412091849025358,"score_spread":0.230442230144006,"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."}}