{"id":"W4388020093","doi":"10.1029/2023wr034848","title":"Concentrations and Yields of Mercury, Methylmercury, and Dissolved Organic Carbon From Contrasting Catchments in the Discontinuous Permafrost Region, Western Canada","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Inro Consultants (Canada); Université de Montréal; University of Alberta","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Weston Family Foundation; Polar Knowledge Canada","keywords":"Methylmercury; Permafrost; Peat; Dissolved organic carbon; Drainage basin; Hydrology (agriculture); Environmental science; Environmental chemistry; Surface runoff; Mercury (programming language); Total organic carbon; Boreal; Surface water; Chemistry; Ecology; Geology; Environmental engineering; Bioaccumulation; Oceanography; Geography","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":[0.0002234971,0.0002578594,0.0002667046,0.0008246079,0.001497504,0.001147113,0.000573959,0.0002708931,0.0004586595],"category_scores_gemma":[0.0005563046,0.0002019586,0.0002100851,0.001744953,0.0007864925,0.0002375873,0.0004861583,0.0002142746,0.00005841731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01162437,"about_ca_system_score_gemma":0.006131257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9749228,"about_ca_topic_score_gemma":0.9893746,"domain_scores_codex":[0.9997388,0.00001469594,0.00001242795,0.00007401619,0.0000779534,0.00008224456],"domain_scores_gemma":[0.9994764,0.0000462137,0.00007550755,0.00001769468,0.0002365978,0.0001475587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001186137,0.000040521,0.9852819,0.00002793346,0.00005139534,0.0001628329,0.001308472,0.0003185965,0.00821047,0.00005150662,0.0001522969,0.004275493],"study_design_scores_gemma":[0.000002981444,0.000008121348,0.9983741,0.000002887659,0.000008131967,0.00002041644,0.0007669808,0.0003209507,0.0003044312,0.000007613848,0.0001803797,0.000003058394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994288,0.00004018863,0.00003310701,0.00001006695,5.107742e-7,0.000007719351,0.0002664131,0.000003354523,0.0002097896],"genre_scores_gemma":[0.9991689,0.00004426631,0.0001538549,0.00001477137,6.876321e-7,0.00000717366,0.0003840556,0.000002096178,0.0002243215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02507722,"threshold_uncertainty_score":0.08434105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04390991394277238,"score_gpt":0.3006060791060746,"score_spread":0.2566961651633022,"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."}}