{"id":"W3042690706","doi":"10.1002/ecy.3128","title":"NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics","year":2020,"lang":"en","type":"article","venue":"Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"Agencia Nacional de Promoción Científica y Tecnológica; Advanced Research Projects Agency; U.S. Fish and Wildlife Service; Conseil Régional des Pays de la Loire; Darwin Initiative; Mohamed bin Zayed Species Conservation Fund; Fundação Oswaldo Cruz; Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis; Fundação de Apoio à Pesquisa do Distrito Federal; Fundação de Amparo à Pesquisa do Estado de Mato Grosso; Fundação de Amparo à Pesquisa e Inovação do Espírito Santo; Fundação Amazônia Paraense de Amparo à Pesquisa; Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Agence Nationale de la Recherche; Comisión Nacional Forestal; University of Wisconsin-Madison; Neotropical Grassland Conservancy; Coins for Alzheimer's Research Trust; People's Trust for Endangered Species; Idea Wild; Zoological Society of London; Wildlife Conservation Society; Rufford Foundation; Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen; Consejo Nacional de Investigaciones Científicas y Técnicas; World Wildlife Fund; Universidad Autónoma del Estado de México; Conservation Leadership Programme; Social Sciences and Humanities Research Council; Primate Conservation; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Earthwatch Institute; Fundação de Amparo à Pesquisa do Estado da Bahia; Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Companhia Energética de Minas Gerais; Fundação Grupo Boticário de Proteção à Natureza; Villum Fonden; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Gordon and Betty Moore Foundation","keywords":"Carnivore; Ecology; Geography; Distribution (mathematics); Biology; Predation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008358398,0.0005993862,0.0006924754,0.005058287,0.0005954644,0.0006807314,0.0008585582,0.0003188292,0.003738127],"category_scores_gemma":[0.003838075,0.0003388429,0.0004244583,0.008701479,0.0003146857,0.0006553265,0.001370597,0.0004707098,0.002527142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000782703,"about_ca_system_score_gemma":0.001973698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1158442,"about_ca_topic_score_gemma":0.1211002,"domain_scores_codex":[0.9992201,0.00007819173,0.0001801734,0.0001633853,0.0002608651,0.00009713584],"domain_scores_gemma":[0.9956641,0.0005591284,0.001140928,0.0005172315,0.001692434,0.0004262993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002584419,0.0001152765,0.7867231,0.002318767,0.000374045,0.0005990564,0.002997685,0.0009788251,0.001961334,0.0006868045,0.143025,0.05996161],"study_design_scores_gemma":[0.00002454066,0.00002495323,0.9162365,0.00037098,0.0000618964,0.0002638784,0.001295353,0.0003529511,0.0003129796,0.0001809182,0.08084152,0.0000334926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.173264,0.001212518,0.0003597286,0.0001559354,0.00002826148,0.00008912129,0.8202664,0.0001228413,0.004501284],"genre_scores_gemma":[0.1462098,0.001189094,0.002195301,0.0001486958,0.00003311827,0.0005044347,0.8478368,0.00006188022,0.001820935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1158442,"threshold_uncertainty_score":0.2303398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03843709067953883,"score_gpt":0.2552590226956035,"score_spread":0.2168219320160647,"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."}}