{"id":"W2100465167","doi":"10.5194/esd-1-1-2010","title":"A new model of Holocene peatland net primary production, decomposition, water balance, and peat accumulation","year":2010,"lang":"en","type":"article","venue":"Earth System Dynamics","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":282,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Center for Diagnosis and Research on Alzheimer's Disease; Université du Québec à Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; Academy of Finland; Université du Québec à Montréal; National Science Foundation","keywords":"Peat; Water table; Primary production; Holocene; Environmental science; Water balance; Hydrology (agriculture); Bog; Geology; Soil science; Groundwater; Ecosystem; Ecology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002088175,0.0001219891,0.0001979975,0.00003908838,0.0001019334,0.00002211357,0.00009500426,0.000100533,0.00007770065],"category_scores_gemma":[0.000004841559,0.00009132499,0.00002889743,0.00006677082,0.00006540417,0.0001805714,0.00008589483,0.0001088315,0.00002671261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004008773,"about_ca_system_score_gemma":0.00001382775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002113462,"about_ca_topic_score_gemma":0.0007479366,"domain_scores_codex":[0.9990875,0.00002820142,0.0002459818,0.000284147,0.0001505502,0.0002035862],"domain_scores_gemma":[0.9995629,0.00001206489,0.00008229875,0.0002321641,0.00001745611,0.00009311346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006969214,0.00004760414,0.9229296,0.0001026132,0.00001859722,0.000003844669,0.0004845912,0.03173926,0.04099467,0.0003913274,0.001065619,0.002152504],"study_design_scores_gemma":[0.0005798149,0.0000655234,0.4384595,0.00002131345,0.00002478371,0.0001267712,0.00002467147,0.5592891,0.0008112771,0.0002260351,0.0001874629,0.0001837968],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864372,0.000007754626,0.009778061,0.0001917082,0.0002373443,0.000220361,0.00001157174,0.00003793401,0.003078053],"genre_scores_gemma":[0.9935101,0.000008519906,0.004664147,0.00002815234,0.00009225243,0.00000619806,0.0001723246,0.00001142872,0.001506917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5275498,"threshold_uncertainty_score":0.3724125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006655132615839428,"score_gpt":0.2150429363097305,"score_spread":0.2083878036938911,"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."}}