{"id":"W3030964527","doi":"10.1016/j.agrformet.2020.108030","title":"Aboveground tree growth is a minor and decoupled fraction of boreal forest carbon input","year":2020,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; University of British Columbia; Global Institute for Water Security; Environment and Climate Change Canada; Wilfrid Laurier University; University of Saskatchewan; Université de Montréal","funders":"ETH Zürich Foundation; Stavros Niarchos Foundation; Canada Research Chairs; Global Water Futures; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Taiga; Biome; Black spruce; Boreal; Environmental science; Eddy covariance; Boreal ecosystem; Ecosystem; Atmospheric sciences; Forest ecology; Biomass (ecology); Ecology; Basal area; Forestry; Physical geography; Geography; Biology; Geology","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":[0.00004372499,0.0001248169,0.0001950483,0.00001382409,0.00006153667,0.00001643181,0.00006905801,0.0001091393,0.00002452386],"category_scores_gemma":[0.00001399294,0.00007748741,0.00003346816,0.0001218199,0.0001385588,0.0001319312,0.00008990238,0.00009778664,0.000004238966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000163039,"about_ca_system_score_gemma":0.000002195215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003516172,"about_ca_topic_score_gemma":0.003340479,"domain_scores_codex":[0.9993083,0.00002372941,0.000172118,0.0002339347,0.00009761104,0.0001642793],"domain_scores_gemma":[0.9997071,0.00004021881,0.00008637374,0.00005122826,0.00000983832,0.0001052254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006359904,0.00002436697,0.9917654,0.00001503217,0.00003132631,0.000005403805,0.0004506514,0.0001077708,0.005292464,0.0005196429,0.0002463105,0.001478019],"study_design_scores_gemma":[0.0003487069,0.0002361792,0.9820067,0.000002597494,0.00005013408,0.00005210739,0.00005609145,0.0154261,0.0001420936,0.001353608,0.0002115782,0.0001140505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952342,0.00008515076,0.00004266481,0.0008428025,0.00002659452,0.000119848,0.00001439998,0.00001577385,0.003618591],"genre_scores_gemma":[0.9991647,0.0001317496,0.0002918001,0.0002544392,0.00002890621,0.000008451078,0.00004390115,0.000004140913,0.00007188654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01531833,"threshold_uncertainty_score":0.5315424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006568159280954129,"score_gpt":0.1802699285252449,"score_spread":0.1737017692442907,"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."}}