{"id":"W4409031891","doi":"10.1038/s41597-024-04207-x","title":"Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; Université Laval; Centre de Géomatique du Québec; Parks Canada; Lake Simcoe Region Conservation Authority; Concordia University; Memorial University of Newfoundland; Canadian Wildlife Federation; Environment and Climate Change Canada; Mount Allison University","funders":"H2020 European Research Council; Agencia Estatal de Investigación; Instituto Chico Mendes de Conservação da Biodiversidade; Tanzania Wildlife Research Institute; HORIZON EUROPE Framework Programme; U.S. Fish and Wildlife Service; Fondation Segré; Consejo Mexiquense de Ciencia y Tecnología; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; University of Venda; Miljødirektoratet; Environment and Climate Change Canada; Academia Româna; Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul; Consejo Nacional de Ciencia y Tecnología; Boise State University; Ministerio de Ciencia e Innovación; Fundação de Amparo à Pesquisa do Estado de Goiás; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; Ministère des Transports; Lietuvos Mokslo Taryba; Fundação de Amparo à Pesquisa do Estado de São Paulo; European Commission; Sächsisches Staatsministerium für Wissenschaft und Kunst; Narodowym Centrum Nauki; National Geographic Society; King Mongkut's University of Technology Thonburi; Akademie Věd České Republiky; Ministry of Environment; National Research Foundation; U.S. Department of Agriculture; Ministério da Ciência, Tecnologia e Inovação; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Environmental Restoration and Conservation Agency; Royal Zoological Society of Scotland; National Natural Science Foundation of China; Idaho Transportation Department; Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina; Massachusetts Department of Fish and Game; Generalitat de Catalunya; Bundesministerium für Verkehr und Digitale Infrastruktur; Comunidad de Madrid; Ministry of Natural Resources; Biologické Centrum, Akademie Věd České Republiky; Conselho Nacional de Desenvolvimento Científico e Tecnológico; British Herpetological Society; Deutsche Bundesstiftung Umwelt; Junta de Andalucía; Fundação para a Ciência e a Tecnologia; Idaho Department of Fish and Game; McLean Foundation; Fundación Charles Darwin; Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; Panthera; Idea Wild; Mekelle University","keywords":"Collision; Vertebrate; Environmental science; Ecology; Biology; Geography; Computer science; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.0007935517,0.0001476427,0.0001275774,0.00003556777,0.0004425916,0.0005682763,0.002164545,0.00004663993,0.0003992028],"category_scores_gemma":[0.0001419525,0.0001166789,0.00001210366,0.0008428953,0.0003606573,0.001650157,0.001839454,0.00009547001,0.0004601325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001386548,"about_ca_system_score_gemma":0.0001002261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003178608,"about_ca_topic_score_gemma":0.006183428,"domain_scores_codex":[0.9976736,0.00008501932,0.0002498309,0.001216076,0.0005277002,0.0002477768],"domain_scores_gemma":[0.995613,0.00003910941,0.00009893682,0.004155149,0.000009104559,0.00008469577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005603185,0.0001571326,0.03201503,0.000002328077,0.00002014714,0.000004211922,0.000006684087,0.0001045888,0.0004197589,0.00002617878,0.9643552,0.002832715],"study_design_scores_gemma":[0.00066029,0.00004289109,0.05320881,0.00003853759,0.0000546509,0.000001435927,0.00005202949,0.0262243,0.0002977361,0.00009973026,0.9191468,0.0001728416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8189403,0.00001934365,0.0006577882,0.001176548,0.001527922,0.0003987681,0.1751284,0.00005492279,0.002095995],"genre_scores_gemma":[0.6364245,0.000008652598,0.0004124039,0.001137712,0.00006356664,0.00001694354,0.3592317,0.00001059007,0.002693862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1841033,"threshold_uncertainty_score":0.5914226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04990942759797331,"score_gpt":0.3223735859506073,"score_spread":0.272464158352634,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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