{"id":"W2794032190","doi":"10.1007/s13280-017-1004-9","title":"A review of global environmental mercury processes in response to human and natural perturbations: Changes of emissions, climate, and land use","year":2018,"lang":"en","type":"review","venue":"AMBIO","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":805,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Horizon 2020 Framework Programme; National Institute of Environmental Health Sciences; Dartmouth College; National Institutes of Health; National Science Foundation","keywords":"Environmental science; Mercury (programming language); Natural (archaeology); Climate change; Land use; Environmental chemistry; Environmental protection; Ecology; Oceanography; Geography; Chemistry; Geology; Computer science; Biology","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":[0.0003741717,0.0002024987,0.0007171858,0.0000419646,0.00006827175,0.00001063233,0.0001004704,0.00007327194,0.0001009453],"category_scores_gemma":[0.0004029202,0.0001479108,0.00004250139,0.0002653441,0.0002772308,0.0001113743,0.000279052,0.00006892801,0.000009886132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008300439,"about_ca_system_score_gemma":0.00002117834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008848112,"about_ca_topic_score_gemma":0.0002209806,"domain_scores_codex":[0.9988769,0.0001540476,0.0003846858,0.0002658748,0.0001620737,0.000156442],"domain_scores_gemma":[0.9993395,0.0001638824,0.0002404836,0.0001680762,0.000007611651,0.00008041565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002115394,0.000456442,0.1445789,0.2440235,0.0002197858,0.00001456029,0.002840196,8.319539e-8,0.001128559,0.00002222382,0.0171121,0.5893921],"study_design_scores_gemma":[0.0001836017,0.0002212118,0.05092272,0.0692652,0.0002332169,0.00003683829,0.00009025616,1.668078e-7,0.00001795279,0.000009720035,0.8787125,0.0003066623],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06365964,0.9353373,1.044248e-7,0.00008920207,0.00002131837,0.0005719762,0.0002668037,0.000005001387,0.00004864313],"genre_scores_gemma":[0.004279916,0.9952557,0.00009274771,0.0001803849,0.00001037445,0.00004382303,0.00003830672,0.000008763757,0.0000899755],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8616003,"threshold_uncertainty_score":0.6031629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04013983368636393,"score_gpt":0.3395196398942557,"score_spread":0.2993798062078917,"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."}}