{"id":"W4210822667","doi":"10.1016/j.scitotenv.2022.153715","title":"Climate change and mercury in the Arctic: Abiotic interactions","year":2022,"lang":"en","type":"review","venue":"The Science of The Total Environment","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of British Columbia; McGill University; Environment and Climate Change Canada; Geological Survey of Canada; Carleton University; Natural Resources Canada","funders":"Ulkoministeriö; Environment and Climate Change Canada; Miljøstyrelsen; Aarhus Universitet","keywords":"Permafrost; Biogeochemical cycle; Environmental science; Climate change; Arctic; Thermokarst; Cryosphere; Biogeochemistry; Ecosystem; Global warming; Cycling; Arctic geoengineering; Mercury (programming language); Oceanography; Physical geography; Ecology; Sea ice; Arctic ice pack; Geology; Antarctic sea ice; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001453243,0.0001786519,0.0003044366,0.00007600158,0.0005884327,0.00006023198,0.001093617,0.00002766377,0.003679181],"category_scores_gemma":[0.00002440674,0.00007389783,0.0001397381,0.0004060015,0.0009878665,0.0001512479,0.0002982334,0.0003830454,0.00008402683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000322293,"about_ca_system_score_gemma":0.00002593801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001179538,"about_ca_topic_score_gemma":0.0002124292,"domain_scores_codex":[0.9983608,0.0002664665,0.0002628617,0.0002723351,0.0005164508,0.0003210787],"domain_scores_gemma":[0.9988291,0.0003702051,0.0002090923,0.0005485038,0.000001873839,0.00004120873],"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":[0.000007338549,0.00006449235,0.0002700413,0.001022461,0.0000170159,0.00000609984,0.006208004,0.0002336615,0.000006302973,0.00008447671,0.00004598631,0.9920341],"study_design_scores_gemma":[0.000202743,0.000274897,0.07496243,0.002816933,0.0007099517,0.0008942866,0.004401932,0.002038342,0.000003390046,0.0003943636,0.9125739,0.0007267784],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008174131,0.9865605,3.487112e-8,0.001325053,0.0006516089,0.00101471,0.0008273729,0.000004178291,0.001442434],"genre_scores_gemma":[0.01112915,0.9885771,0.000003068767,0.00007768931,0.00007400236,0.00002202825,0.00004622628,0.000003934935,0.00006684904],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9913073,"threshold_uncertainty_score":0.9972316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007985885453709,"score_gpt":0.2815390782546695,"score_spread":0.1807404897092986,"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."}}