{"id":"W2099149608","doi":"10.1002/2015jg002993","title":"The effects of hydrologic fluctuation and sulfate regeneration on mercury cycling in an experimental peatland","year":2015,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; The Scarborough Hospital; University of Toronto","funders":"Northern Research Station; Great Lakes Fishery Commission; Minnesota Pollution Control Agency; U.S. Environmental Protection Agency","keywords":"Peat; Sulfate; Environmental chemistry; Methylmercury; Deposition (geology); Cycling; Environmental science; Chemistry; Mercury (programming language); Dissolved organic carbon; Hydrology (agriculture); Ecology; Geology; Sediment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002292179,0.00006104303,0.0001203979,0.00008468343,0.000218806,0.00006145781,0.0001886613,0.00002457444,0.000004230507],"category_scores_gemma":[0.001025877,0.00003296841,0.00002461658,0.0003668628,0.0007459792,0.0004109349,0.00008211168,0.000156977,0.000005337302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006349397,"about_ca_system_score_gemma":0.00003448884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005940833,"about_ca_topic_score_gemma":0.00009528684,"domain_scores_codex":[0.9981565,0.0003479426,0.0002214323,0.0001219382,0.000950002,0.0002021978],"domain_scores_gemma":[0.9990342,0.0005647548,0.0001214246,0.00007817185,0.0000593069,0.0001421665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002135527,0.0002650058,0.1137382,0.000005735965,0.000005318795,0.000009893602,0.00314456,0.00006010288,0.8683074,0.0004157072,0.0003346157,0.01349999],"study_design_scores_gemma":[0.0009330961,0.007026998,0.6344059,0.00006251328,0.0000063171,0.000008873524,0.003484755,0.00409817,0.3407179,0.008834844,0.000297946,0.0001226791],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987395,0.000287265,0.000009587496,0.0005242038,0.0001102217,0.000107247,4.979998e-7,0.000001549622,0.0002199461],"genre_scores_gemma":[0.9996302,0.0001771871,0.00006525724,0.00002024602,0.00006749342,0.000003617005,4.120348e-7,0.000001912282,0.00003363705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5275894,"threshold_uncertainty_score":0.2748591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06328816842376762,"score_gpt":0.3710894351457917,"score_spread":0.3078012667220241,"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."}}