{"id":"W2516614713","doi":"10.1002/2016jg003452","title":"Quantifying peat carbon accumulation in Alaska using a process‐based biogeochemistry model","year":2016,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Purdue University; U.S. Department of Energy; National Science Foundation","keywords":"Peat; Holocene; Environmental science; Hydrology (agriculture); Soil carbon; Water table; Carbon cycle; Carbon fibers; Ecosystem; Vegetation (pathology); Climate change; Atmospheric sciences; Physical geography; Climatology; Soil science; Geology; Groundwater; Ecology; Soil water; Oceanography; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000464821,0.0004803785,0.0003064794,0.0003416323,0.000438745,0.0006478315,0.0005226957,0.0005445583,0.0004970914],"category_scores_gemma":[0.0006949549,0.0003185931,0.0005190453,0.0002870981,0.00034863,0.0005998779,0.0003731311,0.0003763359,0.00004588233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583841,"about_ca_system_score_gemma":0.0009131256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09150529,"about_ca_topic_score_gemma":0.04920677,"domain_scores_codex":[0.9999124,0.00002938114,0.000006428329,0.00002635721,0.00001264969,0.0000127995],"domain_scores_gemma":[0.9997649,0.0001064997,0.00003968636,0.00002283817,0.00003892232,0.00002715739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002190803,0.00002434819,0.01312,0.000005881657,0.00003213333,0.00002541905,0.00001528497,0.9849008,0.0008954632,0.0002893746,0.00002119943,0.0006480556],"study_design_scores_gemma":[0.000006319744,0.00002077535,0.00450665,0.000002184022,0.00001407714,0.000005880613,0.00001369311,0.9948686,0.0003024982,0.0001922864,0.00006179824,0.000005216333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994471,0.00004440691,0.004424336,0.00004133932,0.000005421494,0.000007313056,0.0001302183,0.00007163655,0.000804325],"genre_scores_gemma":[0.9986795,0.00002143227,0.001110444,0.000004543648,0.000001716465,0.000006616077,0.00006028585,0.000003204548,0.0001122678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09150529,"threshold_uncertainty_score":0.1819453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296377486884808,"score_gpt":0.398508726437557,"score_spread":0.2688709777490762,"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."}}