{"id":"W2070281127","doi":"10.2136/sssaj2005.0549","title":"Surface Peat Mass and Carbon Balance in a Hypermaritime Peatland","year":2005,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peat; Sphagnum; Bog; Environmental science; Microsite; Carbon sink; Mire; Ombrotrophic; Plant litter; Sink (geography); Hydrology (agriculture); Geology; Ecology; Climate change; Ecosystem; Botany; 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":[0.0000876718,0.0001947023,0.0001588986,0.0006820312,0.0006262082,0.0004842833,0.0002358737,0.0001551107,0.0006397116],"category_scores_gemma":[0.0001592239,0.0001700914,0.00007993465,0.000476876,0.0003467405,0.0001564563,0.0002393381,0.0001192209,0.0001313499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002235384,"about_ca_system_score_gemma":0.0008877892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4703545,"about_ca_topic_score_gemma":0.7812526,"domain_scores_codex":[0.9999241,0.000004587668,0.000003905549,0.00002001072,0.0000178489,0.00002950579],"domain_scores_gemma":[0.9998343,0.00001104159,0.00003240743,0.000006560621,0.00005472002,0.0000609278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002683935,0.00008237037,0.9648128,0.0000207043,0.00003506665,0.0003396269,0.0007621084,0.000271777,0.02840039,0.00003772931,0.00009666416,0.004872442],"study_design_scores_gemma":[9.371995e-7,0.00001371991,0.9993713,0.000001381072,0.000002534759,0.00002839347,0.0001863233,0.0001197111,0.0002075775,0.000003117082,0.00006359335,0.000001294571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998003,0.00001190605,0.00000528878,0.000001434274,1.147872e-7,0.000001451959,0.00006039283,8.267625e-7,0.0001183665],"genre_scores_gemma":[0.9996057,0.00001453495,0.00003704803,0.000003069862,2.979392e-7,0.000002359845,0.0001263724,6.915466e-7,0.0002099104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4703545,"threshold_uncertainty_score":0.9352334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005468215036794351,"score_gpt":0.2188690631220645,"score_spread":0.2134008480852702,"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."}}