{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001091604,0.0007854489,0.0008575999,0.007028781,0.000405297,0.001116584,0.0005878323,0.0003136819,0.004298632],"category_scores_gemma":[0.003341308,0.0005119506,0.0005376091,0.007277441,0.0001447895,0.00114438,0.0009082634,0.0002918224,0.002288793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006159677,"about_ca_system_score_gemma":0.002081955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01559143,"about_ca_topic_score_gemma":0.0303521,"domain_scores_codex":[0.9995285,0.00005654357,0.0001273754,0.0001587217,0.00008571436,0.00004316982],"domain_scores_gemma":[0.9966486,0.0007323942,0.0008329887,0.0006520386,0.0008274441,0.0003065365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005916526,0.0002157722,0.5331796,0.003254232,0.0007842745,0.0006361238,0.0009841661,0.009647326,0.01739922,0.001476983,0.03902692,0.3928038],"study_design_scores_gemma":[0.00004343423,0.00009895269,0.8975785,0.000318477,0.0002348951,0.0003822085,0.0003256086,0.004210339,0.005009048,0.0007270228,0.09100641,0.0000650339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1869769,0.002282164,0.01399512,0.00006966665,0.00003094512,0.0001574001,0.7888382,0.002080992,0.005568614],"genre_scores_gemma":[0.1214119,0.001631023,0.02795238,0.00003947473,0.00002407911,0.0005477747,0.8463514,0.0002322361,0.001809712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01559143,"threshold_uncertainty_score":0.03100139,"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."}}