{"id":"W4380372913","doi":"10.5194/bg-2023-92","title":"Environmental controls of non-growing season carbon dioxide fluxes in boreal and tundra environments","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec); Université du Québec à Trois-Rivières","funders":"Environment and Climate Change Canada; Fonds de recherche du Québec – Nature et technologies; Université de Montréal; Fonds Québécois de la Recherche sur la Nature et les Technologies; Polar Knowledge Canada; Wilfrid Laurier University; Northumbria University; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Université du Québec à Trois-Rivières","keywords":"Tundra; Environmental science; Growing season; Taiga; Boreal; Shrub; Soil water; Atmospheric sciences; Carbon dioxide; Carbon cycle; Ecosystem; Arctic; Boreal ecosystem; Peat; Hydrology (agriculture); Ecology; Soil science; Forestry; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003735302,0.0003113081,0.0002225158,0.0002759642,0.0002754713,0.0005011953,0.0002186926,0.0001680495,0.0002646387],"category_scores_gemma":[0.000350776,0.0001068506,0.0003498569,0.0002685092,0.0002532133,0.0002463016,0.0002633415,0.0001277024,0.00003951717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004984976,"about_ca_system_score_gemma":0.0002659114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02947862,"about_ca_topic_score_gemma":0.03470381,"domain_scores_codex":[0.9998415,0.00004324623,0.00001151708,0.00006030898,0.00001547308,0.00002791313],"domain_scores_gemma":[0.9998004,0.00005845503,0.00005548447,0.00001659084,0.00003632159,0.00003266869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004955693,0.00008036392,0.8972113,0.00007226269,0.0002659277,0.0001753026,0.000187207,0.01662045,0.07816575,0.0002461952,0.0001200432,0.006359714],"study_design_scores_gemma":[0.000004215262,0.00003063551,0.9891699,0.000002106081,0.00002045365,0.00003637758,0.00008973741,0.009047229,0.001408541,0.00005211216,0.0001312755,0.000007443556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995232,0.00005510338,0.0001451478,0.000006384297,0.00000131294,0.000001212188,0.0001077595,0.000006673805,0.0001531869],"genre_scores_gemma":[0.9997583,0.00001887922,0.00007736709,0.000003719688,6.9996e-7,0.000001272204,0.0001140192,0.000002243187,0.00002351543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02947862,"threshold_uncertainty_score":0.05861408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598857254297723,"score_gpt":0.2069655001503192,"score_spread":0.190976927607342,"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."}}