{"id":"W2129243067","doi":"10.1002/2014jg002666","title":"Phenology and its role in carbon dioxide exchange processes in northern peatlands","year":2014,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Lethbridge; Trent University; McGill University; Agriculture and Agri-Food Canada","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Academy of Finland; European Commission; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Phenology; Ecosystem; Environmental science; Peat; Ecosystem respiration; Primary production; Precipitation; Atmospheric sciences; Growing season; Carbon cycle; Climatology; Ecology; Geography; Meteorology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002041494,0.00009802912,0.0002650196,0.0002796265,0.00007042431,0.00003180054,0.000433762,0.00007093693,0.00003220243],"category_scores_gemma":[0.0008987589,0.00006654963,0.00002657627,0.001022353,0.0004529388,0.000239918,0.0002536439,0.0003836558,0.00001141933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008546121,"about_ca_system_score_gemma":0.0000696106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005366707,"about_ca_topic_score_gemma":0.04302586,"domain_scores_codex":[0.9980214,0.0002739623,0.000283606,0.0002606497,0.0006162701,0.0005441689],"domain_scores_gemma":[0.9991689,0.0004286951,0.0001002461,0.00008068373,0.00005475768,0.0001667067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005527088,0.0001583983,0.9830663,0.00001344765,0.000001742375,0.00003228671,0.0005713882,0.000006547597,0.009645993,0.00003908552,0.00001257928,0.006396978],"study_design_scores_gemma":[0.0005117098,0.001014845,0.9897122,0.00003241437,0.000001881006,0.0000224774,0.0002562695,0.001413659,0.0008303688,0.004425535,0.001684958,0.00009363099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956409,0.0002778347,0.000002086193,0.0009292623,0.00004295876,0.00008209695,0.000001032646,0.000002789436,0.003021015],"genre_scores_gemma":[0.9993746,0.0003415945,0.00002510303,0.00003366345,0.0001113455,0.000007166725,6.291784e-7,0.000004303883,0.0001015806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03765915,"threshold_uncertainty_score":0.9744364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106412588301069,"score_gpt":0.2879597770446543,"score_spread":0.2668956511616436,"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."}}