{"id":"W3116347647","doi":"10.1021/acs.est.0c05051","title":"Methylmercury Transport and Fate Shows Strong Seasonal and Spatial Variability along a High Arctic Freshwater Hydrologic Continuum","year":2020,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Environment and Climate Change Canada; University of Toronto","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Kenneth M. Molson Foundation; University of Toronto; Government of Canada; ArcticNet; Indigenous and Northern Affairs Canada; Polar Knowledge Canada","keywords":"Methylmercury; Environmental science; Wetland; Ecosystem; Arctic; Bioaccumulation; Surface water; Permafrost; Biogeochemical cycle; Hydrology (agriculture); Ecology; Oceanography; Geology; Biology","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":[0.0002998392,0.000109138,0.0001923874,0.0005277148,0.0003709849,0.0003882054,0.0001087333,0.0001545397,0.0003242463],"category_scores_gemma":[0.0003609708,0.0001154135,0.0001735239,0.0007341302,0.0002044412,0.0001405391,0.0002214626,0.0001239559,0.0001002489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004169319,"about_ca_system_score_gemma":0.0003909939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07738756,"about_ca_topic_score_gemma":0.1066929,"domain_scores_codex":[0.9998583,0.00003403101,0.000006514243,0.00004149206,0.00002851006,0.00003120396],"domain_scores_gemma":[0.9996796,0.00005544984,0.00008858932,0.00002470711,0.0001103587,0.00004145577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000131092,0.00003088685,0.9707982,0.00001413068,0.00007562328,0.00004792242,0.0003775321,0.0004562277,0.0189656,0.00004175191,0.0001568999,0.008904085],"study_design_scores_gemma":[5.172913e-7,0.00001336554,0.9990327,0.00000120251,0.000006208551,0.00001699403,0.00009805217,0.0003156749,0.0003779093,0.00000982248,0.0001258669,0.000001625577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992877,0.00005573219,0.000156487,0.00001306168,0.000001306214,0.000001370959,0.0001397407,0.000009530344,0.0003350872],"genre_scores_gemma":[0.9991863,0.00006522771,0.0002247292,0.000009906453,0.000002474396,0.000003757481,0.0002757423,0.000002980423,0.000228807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07738756,"threshold_uncertainty_score":0.1538743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009598355601561923,"score_gpt":0.2153327998245422,"score_spread":0.2057344442229803,"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."}}