{"id":"W3144486070","doi":"10.1038/s41467-021-22459-8","title":"Mature Andean forests as globally important carbon sinks and future carbon refuges","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Environment Research Council; Direktion für Entwicklung und Zusammenarbeit; Sight Research UK; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Universidad Nacional de Colombia; National Geographic Society; National Science Foundation","keywords":"Carbon sink; Deforestation (computer science); Climate change; Environmental science; Carbon cycle; Abiotic component; Carbon fibers; Carbon sequestration; Subtropics; Biomass (ecology); Greenhouse gas; Ecology; Tropical and subtropical moist broadleaf forests; Agroforestry; Ecosystem; Biology; Carbon dioxide","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003228739,0.0001669991,0.0001800416,0.0006431898,0.0004056651,0.0009037597,0.0002097112,0.000173793,0.00258139],"category_scores_gemma":[0.0005915409,0.00007628063,0.0001217708,0.000703832,0.0003320663,0.001213494,0.0005666899,0.0002608608,0.0001260884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004616008,"about_ca_system_score_gemma":0.0002450793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01158113,"about_ca_topic_score_gemma":0.04131984,"domain_scores_codex":[0.9999163,0.00001578284,0.000003369758,0.00003025499,0.00001045543,0.00002378128],"domain_scores_gemma":[0.9995899,0.00005814452,0.0001618987,0.00003540041,0.00007386471,0.00008082874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001617388,0.00002851442,0.9725097,0.00006392414,0.00007283829,0.00007475257,0.001001049,0.0005706744,0.006550856,0.0008426862,0.0004865038,0.01763679],"study_design_scores_gemma":[0.000004190463,0.0000142625,0.9953337,0.00002096291,0.00001496873,0.00004372926,0.001149893,0.000551301,0.0003386202,0.0005416272,0.001980667,0.00000606101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962828,0.0003508985,0.0002330681,0.0000925347,0.000003984339,0.000006327436,0.0003967733,0.000006340713,0.002627322],"genre_scores_gemma":[0.9992738,0.0001010961,0.0002350472,0.00002648461,0.00000372089,0.000003573295,0.0001520025,0.000001856182,0.0002024333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01158113,"threshold_uncertainty_score":0.02302742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007867867999724509,"score_gpt":0.2343244036580042,"score_spread":0.2264565356582798,"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."}}