{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002030787,0.0003564301,0.0002961163,0.001159261,0.002593724,0.0009122929,0.0005112615,0.0003534342,0.0006598014],"category_scores_gemma":[0.0004194548,0.0002579218,0.0002517699,0.001468632,0.0006430942,0.0003451987,0.0006906817,0.000456327,0.00009930867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006841755,"about_ca_system_score_gemma":0.00587128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9572811,"about_ca_topic_score_gemma":0.9842828,"domain_scores_codex":[0.9997512,0.000008050092,0.00000718523,0.00006807048,0.00009780224,0.00006774686],"domain_scores_gemma":[0.999589,0.00001483247,0.0000514449,0.00001133069,0.0002756155,0.00005776334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001766286,0.00003239779,0.939004,0.0000636105,0.00009538127,0.0005872629,0.003364965,0.0007559956,0.03429138,0.0002293907,0.00107376,0.02032523],"study_design_scores_gemma":[0.00000277652,0.000009276981,0.9955336,0.000008767134,0.00001959555,0.0000616008,0.001106801,0.0005398467,0.001075005,0.00003548709,0.001594939,0.00001236024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976421,0.0001509982,0.0001873174,0.00008492925,0.000007514006,0.000005747398,0.0007065586,0.00002353949,0.001191332],"genre_scores_gemma":[0.998032,0.0001615434,0.0003532674,0.00004828183,0.000004162632,0.000004201686,0.0006364865,0.00001090891,0.0007490063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04271895,"threshold_uncertainty_score":0.08594102,"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."}}