{"id":"W4212922855","doi":"10.1093/biosci/biab119","title":"Adding Tree Rings to North America's National Forest Inventories: An Essential Tool to Guide Drawdown of Atmospheric CO2","year":2021,"lang":"en","type":"article","venue":"BioScience","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Government of British Columbia; Université Laval; Natural Resources Canada; Canadian Forest Service","funders":"U.S. Forest Service; Utah Agricultural Experiment Station; University of Arizona; Agence Nationale de la Recherche; Utah State University; U.S. Department of Agriculture; National Science Foundation","keywords":"Biome; Context (archaeology); Greenhouse gas; Dendrochronology; Environmental science; Geography; Climate change; Environmental resource management; Ecology; Ecosystem","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004006044,0.0005208701,0.0004606195,0.003067959,0.001053412,0.001686257,0.001018455,0.0003392871,0.004808904],"category_scores_gemma":[0.01019397,0.0005634191,0.0003482616,0.004624322,0.0003063064,0.002396772,0.001117923,0.00106194,0.001971501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005631236,"about_ca_system_score_gemma":0.001481128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03419607,"about_ca_topic_score_gemma":0.1469342,"domain_scores_codex":[0.9987273,0.0004046812,0.0001428267,0.0002439508,0.0004103725,0.00007082994],"domain_scores_gemma":[0.9899227,0.001400613,0.00169982,0.002851619,0.003695816,0.0004295387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001461605,0.0001472459,0.3692507,0.0005974315,0.0003817926,0.0001786937,0.00161781,0.003016052,0.013231,0.005043418,0.09819838,0.5081913],"study_design_scores_gemma":[0.00002719752,0.0001015456,0.5739733,0.00056786,0.0002509782,0.0002316175,0.001658487,0.006419009,0.006782793,0.007131923,0.4026976,0.0001576574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3306259,0.01428275,0.2736909,0.008682184,0.003852538,0.00147368,0.267235,0.006805265,0.09335174],"genre_scores_gemma":[0.4088239,0.00691021,0.5152171,0.001445941,0.001071614,0.0009074914,0.05125168,0.001219752,0.01315236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03419607,"threshold_uncertainty_score":0.06799406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006754269694642674,"score_gpt":0.2242396823148149,"score_spread":0.2174854126201722,"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."}}