{"id":"W4220805208","doi":"10.5194/egusphere-egu22-5986","title":"Methylmercury in thawing peatlands on a trophic gradient in boreal Western Canada","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Wave Control Systems (Canada); Wildlife Conservation Society Canada; University of Alberta","funders":"","keywords":"Permafrost; Peat; Wetland; Bog; Methylmercury; Thermokarst; Environmental science; Boreal; Groundwater; Taiga; Ecology; Nutrient; Hydrology (agriculture); Environmental chemistry; Chemistry; Geology; Biology; Bioaccumulation","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001347577,0.0001861542,0.0002093505,0.0009005573,0.001802742,0.0007609566,0.000367091,0.0001789328,0.0009920298],"category_scores_gemma":[0.0003809714,0.0001627772,0.0001470284,0.001491255,0.0006247813,0.0002216443,0.0005039189,0.0002102685,0.00008676152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007710949,"about_ca_system_score_gemma":0.006968995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985157,"about_ca_topic_score_gemma":0.996339,"domain_scores_codex":[0.9998701,0.000006576191,0.00000506484,0.00003135363,0.00002858968,0.00005837286],"domain_scores_gemma":[0.9996798,0.00001961167,0.00004952569,0.000008440988,0.0001408074,0.0001017494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000965775,0.00003148678,0.984539,0.00002294718,0.00003443988,0.0001695201,0.003104004,0.0002228642,0.005514074,0.00009580556,0.0003377335,0.005831511],"study_design_scores_gemma":[0.0000011082,0.000005130477,0.9980957,0.000004721921,0.000004849513,0.00002112185,0.001382949,0.0001107337,0.0001228225,0.000009181177,0.0002387393,0.000002936715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991303,0.00005489252,0.00002951517,0.0000213374,9.523306e-7,0.000004627223,0.0003174835,0.000003297659,0.0004375527],"genre_scores_gemma":[0.9989202,0.0000895421,0.0001364289,0.00002082995,6.945874e-7,0.000004178859,0.0003389612,0.000002390605,0.0004867941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01484299,"threshold_uncertainty_score":0.05594712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458757150433493,"score_gpt":0.2682476166230003,"score_spread":0.2436600451186653,"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."}}