{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006130864,0.000814047,0.0006622454,0.003323985,0.0003519144,0.0007660479,0.001165544,0.0009265402,0.007142853],"category_scores_gemma":[0.003140112,0.0003555691,0.0007140505,0.005726567,0.0002609939,0.0006549958,0.001227942,0.0008675875,0.007063721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005936437,"about_ca_system_score_gemma":0.001096818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03244404,"about_ca_topic_score_gemma":0.04083111,"domain_scores_codex":[0.9993606,0.00009074062,0.0001336291,0.000160121,0.0001673981,0.00008752253],"domain_scores_gemma":[0.9975706,0.0004456406,0.0008070151,0.0003527639,0.0006156662,0.0002084273],"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":[0.00030287,0.000113097,0.1335808,0.00276047,0.0003944378,0.0003871927,0.0004945559,0.005508032,0.001511592,0.001924485,0.8294363,0.02358609],"study_design_scores_gemma":[0.0002043521,0.0000983658,0.3670322,0.0006947538,0.0001385665,0.0004449284,0.0007838341,0.00375445,0.001384557,0.001170984,0.6241883,0.0001048159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006747178,0.0001544337,0.000295564,0.00005998395,0.00002163997,0.00002379958,0.9913857,0.0001805438,0.001131183],"genre_scores_gemma":[0.009501348,0.0001082865,0.0007301221,0.00002594808,0.00001143405,0.00008616781,0.9891144,0.00003260748,0.0003896914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03244404,"threshold_uncertainty_score":0.06451035,"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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