{"id":"W3008051922","doi":"10.1111/ecog.05166","title":"30% land conservation and climate action reduces tropical extinction risk by more than 50%","year":2020,"lang":"en","type":"article","venue":"Ecography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Santa Barbara; Academy of Natural Sciences of Drexel University; Universidade Federal do Maranhão; Universidad de Extremadura; University of Texas at El Paso; Universidade Federal do Rio de Janeiro; Universidad Pública de Navarra; Agence Nationale de Sécurité du Médicament et des Produits de Santé; Muséum National d'Histoire Naturelle; Universidade Federal do Rio Grande do Norte; Kentucky Science and Technology Corporation; University of Prince Edward Island; International Science and Technology Center; Research Institute for Oceanochemistry Foundation; San José State University; Universidad ICESI; Mitsubishi Electric Research Laboratories; Scheme for Promotion of Academic and Research Collaboration; Global Environment Facility; New Mexico State University; Center for Makroøkologi, Evolution og Klima; Instituto Nacional de Pesquisas da Amazônia; King Saud University; Villum Fonden; University of Victoria; Danmarks Grundforskningsfond; University of Arizona; Centre International de Mathématiques et Informatique de Toulouse; Universidad Autónoma de Yucatán; Aarhus Universitets Forskningsfond; Universidad Nacional de San Luis; National Research Foundation; American Museum of Natural History; Universidad Juárez Autónoma de Tabasco; European Commission; Universidade Estadual de Santa Cruz; Aarhus Universitet; Bhabha Atomic Research Centre; National Science Foundation","keywords":"Extinction (optical mineralogy); Ecology; Geography; Climate change; Agroforestry; Action (physics); Tropical climate; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007498747,0.0002583941,0.0002096911,0.0003643526,0.0002985852,0.0007261484,0.0005346212,0.0003835038,0.006449245],"category_scores_gemma":[0.0017442,0.0001477333,0.0006068783,0.0005934624,0.0006341086,0.0006622978,0.0008080462,0.000271288,0.0004474775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007076143,"about_ca_system_score_gemma":0.001030437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237496,"about_ca_topic_score_gemma":0.01995275,"domain_scores_codex":[0.9996113,0.0001618261,0.00001695809,0.00006436002,0.00006548786,0.00008006374],"domain_scores_gemma":[0.9993532,0.0001520033,0.0002312424,0.0001450278,0.00005296461,0.00006545216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003045718,0.0004190941,0.3334693,0.0002992479,0.0007334932,0.0003104954,0.0005323826,0.4787265,0.01298438,0.04364887,0.006098429,0.1224733],"study_design_scores_gemma":[0.0002496633,0.0007121215,0.5621791,0.0001708353,0.0005137842,0.0008563598,0.002011748,0.278173,0.008110113,0.06988034,0.07703818,0.0001047864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507673,0.0003162225,0.01702009,0.0009785021,0.00002343435,0.00005116824,0.0008876584,0.0002508495,0.02970463],"genre_scores_gemma":[0.995536,0.000102103,0.003204792,0.00008395268,0.000003988361,0.00002140157,0.0002445541,0.00001135195,0.0007917564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237496,"threshold_uncertainty_score":0.02460587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02425474860682221,"score_gpt":0.2418485299006195,"score_spread":0.2175937812937973,"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."}}