{"id":"W2303097961","doi":"10.1002/2015jg002938","title":"Climate and peat type in relation to spatial variation of the peatland carbon mass in the Hudson Bay Lowlands, Canada","year":2016,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Forest Research Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Ministry of Natural Resources; Association of Canadian Universities for Northern Studies; Aboriginal Affairs and Northern Development Canada; Society of Wetland Scientists; Canadian Forest Service; Ontario Ministry of Natural Resources and Forestry","keywords":"Peat; Bog; Physical geography; Spatial distribution; Environmental science; Carbon sink; Spatial variability; Climate change; Geology; Ecology; Geography; 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":[0.002063277,0.00005456597,0.0001204523,0.00007904343,0.00008466341,0.00002102626,0.0003516948,0.00003207612,0.00002138067],"category_scores_gemma":[0.0003911253,0.00002220631,0.00001941225,0.0006674068,0.0002057938,0.0001100258,0.0001142655,0.0001672561,0.000001356063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273141,"about_ca_system_score_gemma":0.0001223082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.409495,"about_ca_topic_score_gemma":0.5304099,"domain_scores_codex":[0.9982474,0.0003234483,0.0002297633,0.0001338108,0.000796541,0.0002690034],"domain_scores_gemma":[0.9992423,0.0004564424,0.00009847234,0.000104384,0.00003533874,0.00006308347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007457367,0.00003120792,0.9828806,0.000002058885,0.000001004952,0.000007002123,0.0003263379,0.000007949498,0.01440264,0.00006732382,0.00007113489,0.002128196],"study_design_scores_gemma":[0.0002553713,0.000339314,0.9972726,0.00003580905,0.000001938871,0.00000405165,0.0001342557,0.0004821385,0.0002056277,0.0009763712,0.000257939,0.00003457276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947444,0.00001213842,0.00001233108,0.004373295,0.0001021951,0.0001098676,0.000003346625,4.490789e-7,0.0006420233],"genre_scores_gemma":[0.9997781,0.00006724042,0.000025074,0.0000395369,0.00005431544,0.00000182536,2.619925e-7,0.000001679427,0.0000319634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1209149,"threshold_uncertainty_score":0.5944372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612453391142921,"score_gpt":0.2710470974605017,"score_spread":0.2549225635490724,"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."}}