{"id":"W2903045866","doi":"10.1021/acs.est.8b05348","title":"Unprecedented Increases in Total and Methyl Mercury Concentrations Downstream of Retrogressive Thaw Slumps in the Western Canadian Arctic","year":2018,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Indigenous and Northern Affairs Canada; W. Garfield Weston Foundation; Natural Resources Canada; University of Alberta; Aurora Research Institute","keywords":"Thermokarst; Permafrost; Mercury (programming language); Methylmercury; Biogeochemical cycle; Environmental chemistry; Arctic; Hydrology (agriculture); Environmental science; Fluvial; Biogeochemistry; Chemistry; Geology; Geomorphology; Bioaccumulation; Oceanography; Structural basin","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002726217,0.00008522918,0.0001077825,0.0003556286,0.0001603277,0.00002329748,0.0003062944,0.0000696415,0.0008558044],"category_scores_gemma":[0.00003904789,0.00006310958,0.00001137692,0.0007755038,0.00284262,0.0001956619,0.00003176582,0.0001264755,0.00003053098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003521071,"about_ca_system_score_gemma":0.00005271969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2512237,"about_ca_topic_score_gemma":0.7873852,"domain_scores_codex":[0.999062,0.00004041927,0.0001477977,0.000238156,0.0001714375,0.0003401827],"domain_scores_gemma":[0.9996423,0.00005654935,0.00004902839,0.0001690124,0.000004905715,0.000078238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004510291,0.00001848823,0.99293,0.000001330233,0.000001122516,0.00001266303,0.0007094775,0.000004282435,0.003554048,0.00002609125,0.000006940342,0.002731071],"study_design_scores_gemma":[0.0001472118,0.0001874525,0.9933852,0.00001761685,0.000003785891,0.00007025033,0.003587143,0.0001995374,0.001976534,0.0001418799,0.0002097286,0.00007367251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974071,0.000365657,4.048165e-7,0.001089906,0.00004092672,0.0001631083,0.0003405249,0.000006016378,0.0005863456],"genre_scores_gemma":[0.999531,0.0001522363,0.00002183605,0.0001984156,0.00001470443,0.000003144864,0.0000688853,0.000001320875,0.000008448264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5361615,"threshold_uncertainty_score":0.9998711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109839130893409,"score_gpt":0.227006333828644,"score_spread":0.21590794251971,"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."}}