{"id":"W2134208072","doi":"10.1029/2004wr003219","title":"Speciation and transport of newly deposited mercury in a boreal forest wetland: A stable mercury isotope approach","year":2005,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Island Health; Trent University; University of Toronto","funders":"U.S. Geological Survey; University of Alberta","keywords":"Mercury (programming language); Methylmercury; Environmental chemistry; Wetland; Peat; Groundwater; Environmental science; Water table; Boreal; Stable isotope ratio; Taiga; Hydrology (agriculture); Aquatic ecosystem; Isotope; Chemistry; Ecology; Geology; Bioaccumulation","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":[],"consensus_categories":[],"category_scores_codex":[0.001109214,0.0001305964,0.0002272522,0.0002042792,0.0001523362,0.00003351646,0.0001925267,0.00007794322,0.0002743441],"category_scores_gemma":[0.00002413685,0.00009212761,0.00003613846,0.0003879511,0.0003261552,0.0002744921,0.0001520749,0.0002467562,0.00005223793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103084,"about_ca_system_score_gemma":0.000007593674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008026815,"about_ca_topic_score_gemma":0.005455306,"domain_scores_codex":[0.9979268,0.0001771961,0.0003297112,0.0003144974,0.000719114,0.0005326659],"domain_scores_gemma":[0.9995475,0.00005533088,0.00003790194,0.0002012217,0.00002555269,0.0001324283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001621957,0.0001678625,0.942268,0.00004989134,0.00001968018,0.000006617248,0.02485821,0.0005330037,0.02500153,0.00002233159,0.0006406215,0.00627012],"study_design_scores_gemma":[0.000872723,0.000125602,0.9326074,0.00002825152,0.00001013027,0.000009547902,0.001206397,0.001799698,0.01920819,0.000118342,0.04383157,0.0001821059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691958,0.0001715796,0.00006338487,0.0004899412,0.000008127826,0.0003991993,0.000009612357,0.00001452681,0.02964778],"genre_scores_gemma":[0.9978053,0.0001563003,0.0005821205,0.00003612596,0.00005420483,0.000044365,0.00003690398,0.00001490733,0.00126975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04319095,"threshold_uncertainty_score":0.9985788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201901423538608,"score_gpt":0.2866554860245773,"score_spread":0.2546364717891912,"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."}}