{"id":"W4388500003","doi":"10.22541/au.169945445.55882825/v1","title":"Long-term Response of Peatland Carbon Exchange to Climatic Changes in the Hudson Bay Lowlands","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"York University","keywords":"Peat; Environmental science; Primary production; Carbon sink; Sink (geography); Bay; Ecosystem respiration; Ecosystem; Climate change; Advection; Eddy covariance; Atmospheric sciences; Oceanography; 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":[0.0002329001,0.0001670446,0.0002250772,0.000272749,0.0002453589,0.0004953983,0.0002586909,0.0001764288,0.0005451797],"category_scores_gemma":[0.0006313316,0.000111065,0.000162169,0.000257297,0.0002445152,0.0002123505,0.0003296784,0.0001945801,0.0000802738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451662,"about_ca_system_score_gemma":0.0006759978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2854525,"about_ca_topic_score_gemma":0.3853986,"domain_scores_codex":[0.9999156,0.00001059359,0.000006836903,0.00002197713,0.00001694428,0.00002804745],"domain_scores_gemma":[0.9996631,0.00005255589,0.00007751067,0.00002537078,0.00008211404,0.00009937942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002278181,0.00007048253,0.9794037,0.00002250427,0.00009298691,0.0002225827,0.0003460032,0.002130482,0.01245282,0.00006090727,0.0002049849,0.004764706],"study_design_scores_gemma":[0.000002284925,0.00001303469,0.998435,0.000002011248,0.000005658762,0.00001210821,0.0001187929,0.001038933,0.0002781113,0.000007264269,0.00008457314,0.00000220115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997922,0.00002280156,0.00001647342,0.000009600039,9.967672e-7,7.853094e-7,0.00007783447,0.000002871408,0.00007651035],"genre_scores_gemma":[0.9996965,0.00001690556,0.00002617139,0.000007120859,7.34932e-7,0.000001604798,0.0001344354,0.000001154587,0.0001153363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7145475,"threshold_uncertainty_score":0.567582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215354972644881,"score_gpt":0.2806117417685286,"score_spread":0.2484581920420798,"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."}}