{"id":"W7108732720","doi":"10.5683/sp3/nkchns","title":"Global estimates of the total number and biomass of vertebrates killed on roads each year: dataset of roadkill records","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Biomass (ecology); Metadata; Global biodiversity; Biodiversity; Biogeography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009325796,0.001378367,0.001148938,0.004463771,0.0004581884,0.001160223,0.001669861,0.00080143,0.01600734],"category_scores_gemma":[0.003639521,0.0006398162,0.001338865,0.006891564,0.0003112259,0.0008223832,0.001217625,0.0009677786,0.01707453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141204,"about_ca_system_score_gemma":0.001828342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09149732,"about_ca_topic_score_gemma":0.1205345,"domain_scores_codex":[0.9990901,0.0000806067,0.0001211595,0.0002886659,0.0002808537,0.0001387121],"domain_scores_gemma":[0.9973081,0.00029712,0.0007047334,0.0004928075,0.0009681929,0.0002289689],"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":[0.0002195831,0.00006693413,0.04972962,0.001530535,0.0005080983,0.0000543614,0.0001260427,0.001350889,0.0007765387,0.0007561746,0.9349456,0.009935605],"study_design_scores_gemma":[0.0002932659,0.00007731536,0.365171,0.0005080541,0.0002858712,0.0002037591,0.0003539021,0.001255826,0.001108889,0.0007812732,0.6298369,0.0001239374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001469865,0.00006028108,0.0001000182,0.00002367256,0.00001731477,0.000007927581,0.9973661,0.00017796,0.0007768679],"genre_scores_gemma":[0.003120926,0.00004639934,0.0005415765,0.00002199663,0.000007544371,0.00003628914,0.995645,0.00005848797,0.0005216885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09149732,"threshold_uncertainty_score":0.1819295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093139228248441,"score_gpt":0.2868975347983493,"score_spread":0.2759661425158649,"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."}}