{"id":"W3185906712","doi":"10.3389/feart.2021.650662","title":"Peat Carbon Vulnerability to Projected Climate Warming in the Hudson Bay Lowlands, Canada: A Decision Support Tool for Land Use Planning in Peatland Dominated Landscapes","year":2021,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Forest Research Institute; Ministry of Natural Resources and Forestry","funders":"Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Peat; Environmental science; Carbon sink; Ecosystem respiration; Climate change; Sink (geography); Greenhouse gas; Ecosystem; Atmospheric sciences; Hydrology (agriculture); Primary production; Climatology; Ecology; Geology; 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":[0.0005351235,0.0003767634,0.0002481085,0.000813841,0.0009066599,0.001216258,0.0006528604,0.0003370143,0.001827151],"category_scores_gemma":[0.001646952,0.0002644965,0.0003367124,0.0007657238,0.0004515692,0.0003212536,0.000380321,0.000294205,0.00008739042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02260335,"about_ca_system_score_gemma":0.0138604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9806506,"about_ca_topic_score_gemma":0.989221,"domain_scores_codex":[0.9998688,0.00002973689,0.000007331842,0.00002411996,0.0000287083,0.00004124316],"domain_scores_gemma":[0.9994584,0.0002026239,0.00004772063,0.00001069678,0.0001725263,0.0001080041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002086746,0.00007737544,0.2052097,0.0001034401,0.000115985,0.0002079463,0.0002999903,0.7690229,0.001346786,0.001330852,0.001553743,0.02052254],"study_design_scores_gemma":[0.0000615278,0.00004642587,0.09455831,0.00004794926,0.00008678887,0.00002028091,0.001052618,0.9010075,0.0007734332,0.001036087,0.001271088,0.00003799528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915785,0.00009969593,0.002303676,0.0002942551,0.000003435125,0.00007576073,0.002677736,0.00009241203,0.002874587],"genre_scores_gemma":[0.9938462,0.00008560791,0.004411357,0.0000223423,0.000001276553,0.00002135641,0.0008871601,0.000007859297,0.0007168023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02260335,"threshold_uncertainty_score":0.1639996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009948522716526978,"score_gpt":0.242795470395894,"score_spread":0.232846947679367,"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."}}