{"id":"W4220910376","doi":"10.1029/2021gb007213","title":"Large Soil Carbon Storage in Terrestrial Ecosystems of Canada","year":2022,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; World Wildlife Fund Canada; University of Toronto; Natural Resources Canada; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terrestrial ecosystem; Environmental science; Soil water; Peat; Ecosystem; Soil carbon; Climate change; Boreal; Taiga; Terrestrial plant; Carbon cycle; Global warming; Detritus; Ecology; Soil science; Forestry; 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":[0.0001306239,0.0002245621,0.0002330667,0.001560738,0.001191298,0.001021964,0.0004411652,0.0001365023,0.001009405],"category_scores_gemma":[0.0004593202,0.000131311,0.0002006396,0.003029443,0.0003299042,0.0002775833,0.0004295222,0.0001262867,0.00009644981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0100807,"about_ca_system_score_gemma":0.008014522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9832295,"about_ca_topic_score_gemma":0.9894991,"domain_scores_codex":[0.9998615,0.000004392061,0.000004919711,0.00003007773,0.00006295902,0.00003623931],"domain_scores_gemma":[0.9994801,0.00003509783,0.00006311797,0.00001582541,0.0003453684,0.000060447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001431344,0.00002835543,0.9331082,0.0001643913,0.0001920866,0.0002665432,0.0005513082,0.01097503,0.01185039,0.001037668,0.00170863,0.03997424],"study_design_scores_gemma":[0.000002953762,0.000006598429,0.9927779,0.00001881737,0.00002160237,0.00004583647,0.0004225931,0.004153261,0.001076622,0.0001944612,0.001265034,0.00001426921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911484,0.000495462,0.000524975,0.00005102675,0.000002355121,0.000009619293,0.005143412,0.00004536837,0.002579297],"genre_scores_gemma":[0.9984643,0.0001231114,0.0003591034,0.000006942086,5.12211e-7,0.000002543964,0.0007904579,0.000002904706,0.0002501361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01677054,"threshold_uncertainty_score":0.07314104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005448799267503454,"score_gpt":0.2002374332205766,"score_spread":0.1947886339530732,"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."}}