{"id":"W2152976421","doi":"10.1177/0959683614538073","title":"A database and synthesis of northern peatland soil properties and Holocene carbon and nitrogen accumulation","year":2014,"lang":"en","type":"article","venue":"The Holocene","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":597,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada; Université Laval; Université de Montréal; McGill University; Université du Québec à Montréal; University of Toronto","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Peat; Holocene; Sphagnum; Bulk density; Carbon fibers; Radiocarbon dating; Environmental science; Soil carbon; Wetland; Physical geography; Geology; Plateau (mathematics); Nitrogen; Soil science; Hydrology (agriculture); Soil water; Ecology; Chemistry; Geography; Oceanography; Paleontology","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":[0.0003516403,0.0001087408,0.0001669193,0.00002094518,0.0001201873,0.00001656382,0.00008470586,0.0000466296,0.00001391448],"category_scores_gemma":[0.00008109627,0.00006564928,0.00001186449,0.0000525623,0.0003691952,0.00006891695,0.0002047854,0.00005640521,0.000002304988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008602687,"about_ca_system_score_gemma":0.000003616635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087032,"about_ca_topic_score_gemma":0.0002198335,"domain_scores_codex":[0.9993141,0.00008677886,0.000128278,0.0002119051,0.00009740593,0.0001615375],"domain_scores_gemma":[0.9995738,0.0001000556,0.00006627545,0.0001937327,0.000006864253,0.00005924678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007262951,0.00002890636,0.9860464,0.0000209118,0.00001359961,0.000001365149,0.0003421601,0.00004482344,0.002308431,0.0000129529,0.00002287439,0.01108491],"study_design_scores_gemma":[0.0005970153,0.0001466063,0.9768516,0.00002501319,0.00006546059,0.00004766383,0.00007557077,0.0103554,0.0109869,0.0006093328,0.00007564991,0.0001637463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982317,0.0002623081,0.00001259808,0.0004575253,0.00001298809,0.0001130245,0.000007478421,0.0000136774,0.0008887147],"genre_scores_gemma":[0.9995087,0.0002672062,0.00005312536,0.00008254099,0.00002745385,0.00001104316,0.000004950534,0.000009344134,0.00003566872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01092116,"threshold_uncertainty_score":0.26771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252417651250349,"score_gpt":0.2179044872812455,"score_spread":0.195380310768742,"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."}}