{"id":"W4200372885","doi":"10.1088/1748-9326/ac45b3","title":"Aboveground forest biomass varies across continents, ecological zones and successional stages: refined IPCC default values for tropical and subtropical forests","year":2021,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Forest ecology and management","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Network for Business Sustainability; University of Guelph","funders":"Japan Aerospace Exploration Agency; Consortium of International Agricultural Research Centers; Direktoratet for Utviklingssamarbeid; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Doris Duke Charitable Foundation; Sight Research UK; Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit; National Centre for Earth Observation; Gordon and Betty Moore Foundation; Children's Investment Fund Foundation; Natural Environment Research Council; COmON Stichting; European Space Agency","keywords":"Subtropics; Tropics; Environmental science; Biomass (ecology); Tropical and subtropical moist broadleaf forests; Greenhouse gas; Climate change; Ecology; Geography; Biology","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":[0.003254427,0.0006188198,0.0003407036,0.001353769,0.0002680613,0.0007573121,0.0009621182,0.0003687183,0.001660831],"category_scores_gemma":[0.006038068,0.0003254272,0.0006846733,0.002004914,0.0002455403,0.0007360623,0.0006192556,0.0004935142,0.000431351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007269508,"about_ca_system_score_gemma":0.0003581955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03383152,"about_ca_topic_score_gemma":0.02478588,"domain_scores_codex":[0.9992525,0.0002016888,0.0001171213,0.0001901722,0.0001719241,0.00006662533],"domain_scores_gemma":[0.9975271,0.0005449947,0.000333331,0.0005752221,0.0009298899,0.00008954282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007041293,0.0001683022,0.7371656,0.0004811499,0.0006366744,0.0002887339,0.0005211624,0.1611706,0.004433111,0.003790364,0.02730548,0.06333464],"study_design_scores_gemma":[0.0002021277,0.0001019554,0.8357479,0.0002409591,0.0002644075,0.0002300944,0.0003139925,0.1262758,0.006238044,0.005158541,0.02508335,0.0001427061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8672423,0.0007171067,0.03552463,0.0001987497,0.00006925185,0.00039901,0.08331674,0.001225703,0.01130647],"genre_scores_gemma":[0.9202807,0.0001424434,0.02740139,0.000111465,0.00001354177,0.0003393852,0.05106505,0.0002468785,0.0003992114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03383152,"threshold_uncertainty_score":0.06726915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358633315801366,"score_gpt":0.3106445763140525,"score_spread":0.2870582431560388,"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."}}