{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001529138,0.0000819108,0.0001051222,0.000007399977,0.0001043118,0.00001004736,0.0005745452,0.0001134324,0.0006464046],"category_scores_gemma":[0.0002999532,0.00006188639,0.00001807311,0.0001823565,0.0001487808,0.00009475736,0.0002271346,0.0002719073,0.0007833274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007484747,"about_ca_system_score_gemma":0.00001943212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001685494,"about_ca_topic_score_gemma":0.002993668,"domain_scores_codex":[0.9989753,0.000250372,0.000145548,0.0003100374,0.0001063054,0.0002123809],"domain_scores_gemma":[0.9993949,0.0001795132,0.00004447129,0.0003346851,0.000002792184,0.00004364333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003500183,0.0000394322,0.9320437,0.000001614302,0.000003334555,0.00003592636,0.0004615742,0.0004998252,0.000006209023,0.001031972,0.06530326,0.000538112],"study_design_scores_gemma":[0.0002418091,0.0002059993,0.928187,9.022022e-7,0.000007261496,0.000006135063,0.000159571,0.004415282,0.000001650375,0.0002866866,0.06642546,0.00006221516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562766,0.000006051869,0.0001390053,0.04214521,0.0001173691,0.0001792931,0.00004569928,0.00002058685,0.001070206],"genre_scores_gemma":[0.9847341,0.000006732533,0.00004004811,0.01467484,0.0001080456,0.00002049739,0.0003729712,0.000004104655,0.00003870875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02845748,"threshold_uncertainty_score":0.9999947,"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). 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