{"id":"W4410831187","doi":"10.1007/s11252-025-01747-x","title":"Global wildlife roadkill research: a bibliometric synthesis of historical trends, thematic gaps, and future directions","year":2025,"lang":"en","type":"article","venue":"Urban Ecosystems","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mahidol University","keywords":"Wildlife; Thematic map; Urban ecology; Geography; Regional science; Nature Conservation; Political science; Social science; Environmental planning; Sociology; Environmental ethics; Ecology; Cartography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02121362,0.000927499,0.002466291,0.198774,0.001505199,0.006819119,0.001327168,0.0008343923,0.005285045],"category_scores_gemma":[0.07074513,0.0006546308,0.002136904,0.2487256,0.001881507,0.006145046,0.004280208,0.0009642577,0.0009452997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004140215,"about_ca_system_score_gemma":0.01424059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009839272,"about_ca_topic_score_gemma":0.01743769,"domain_scores_codex":[0.9792743,0.003641001,0.00822236,0.002272146,0.005754062,0.0008361447],"domain_scores_gemma":[0.8817664,0.07453446,0.01863309,0.003369632,0.02006556,0.00163089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003169419,0.0000816205,0.1165565,0.3612972,0.003889908,0.0007188083,0.01476355,0.0008125714,0.001716741,0.01285076,0.04755203,0.4394434],"study_design_scores_gemma":[0.00005966823,0.0001690495,0.3432721,0.2212251,0.006905851,0.001299337,0.02591425,0.000878871,0.001100445,0.006377623,0.3925825,0.0002151038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08401564,0.7923898,0.003191744,0.01129449,0.0008861907,0.0009101793,0.09426857,0.0003257736,0.01271751],"genre_scores_gemma":[0.2332588,0.7041132,0.009343657,0.001542278,0.000944384,0.001594181,0.04776152,0.0001924866,0.001249517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.801226,"threshold_uncertainty_score":0.1121897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02625024487449234,"score_gpt":0.2839981575420734,"score_spread":0.257747912667581,"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."}}