{"id":"W4200191517","doi":"10.1126/science.abh3629","title":"Multidimensional tropical forest recovery","year":2021,"lang":"en","type":"article","venue":"Science","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":457,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"Smithsonian Tropical Research Institute; Directorate for Biological Sciences; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Agencia Nacional de Investigación y Desarrollo; Instituto de Investigación de Recursos Biológicos Alexander von Humboldt; University of Alberta; Universidade Federal de Santa Catarina; Universidade Federal da Paraíba; World Agroforestry Centre; Universität Innsbruck; Universitat Autònoma de Barcelona; Fondo Nacional de Ciencia Tecnología e Innovación; Universidade Federal de Minas Gerais; Centre de Coopération Internationale en Recherche Agronomique pour le Développement; AgroParisTech; Universidade de São Paulo; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Instituto Tecnológico de Costa Rica; Universidad de Antioquia; Universidade Federal de Pernambuco; Centre National de la Recherche Scientifique; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universität für Bodenkultur Wien; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; University of Wisconsin-Madison; Yale University; University of Stirling; University of Minnesota; Universiteit Utrecht; Wageningen University and Research; National University of Singapore; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Institut de Recherche pour le Développement; University of the Sunshine Coast; Universidade Federal do Rio Grande do Sul; Consejo Nacional de Ciencia y Tecnología; Ministerio de Ciencia e Innovación; Ministry of Education, India; HSBC Bank USA; Universidade Federal de Viçosa; Kwame Nkrumah University of Science and Technology; Primate Conservation; Colorado Mesa University; University of Connecticut; Universidad Nacional Autónoma de México; Stichting het Kronendak; Yale-NUS College; National Science Foundation; Smithsonian Institution; Secretaría de Educación Pública; Clemson University; Colby College; Fundação de Amparo à Pesquisa do Estado de Minas Gerais","keywords":"Biodiversity; Ecological succession; Deforestation (computer science); Tropics; Ecosystem; Agroforestry; Secondary forest; Biomass (ecology); Old-growth forest; Tropical climate; Climate change; Ecology; Environmental science; Geography; Forest restoration; Forest ecology; Species diversity; Biology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001465684,0.00005062288,0.00004524285,0.00002400879,0.0003692124,0.00003769762,0.0001999522,0.00001643953,0.001859905],"category_scores_gemma":[0.00008661796,0.00004398846,0.00003035907,0.000461212,0.0005251865,0.0001680945,0.0005641949,0.00004312709,0.000876401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001035352,"about_ca_system_score_gemma":0.00003629534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005443442,"about_ca_topic_score_gemma":0.0001723991,"domain_scores_codex":[0.9989821,0.00001581225,0.0000703281,0.0002961168,0.0004440229,0.0001915692],"domain_scores_gemma":[0.9996716,0.00002129736,0.00002057592,0.0001845111,0.000016016,0.00008598985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003424545,0.00004101194,0.9884782,0.000001266744,0.000001287309,0.000017625,0.00008551333,0.0006987044,0.006226553,0.0000979328,0.000770948,0.003577525],"study_design_scores_gemma":[0.00009547123,0.00001324459,0.930337,0.000002568159,0.00000279962,0.000003752728,0.0001050935,0.0009924787,0.0009940107,0.0002215709,0.06716792,0.00006415616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839349,0.00001805061,0.0004166749,0.001138187,0.0002119909,0.00004556045,0.000001337782,0.00001879818,0.01421446],"genre_scores_gemma":[0.9882127,0.00001275585,0.00451308,0.001059601,0.00002528352,0.000001544706,0.000002050188,0.000001962869,0.006170996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06639697,"threshold_uncertainty_score":0.9999015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024333129226367,"score_gpt":0.1994065782816133,"score_spread":0.1891632469893497,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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