{"id":"W4410329666","doi":"10.1111/eva.70105","title":"Contrasting Patterns of Raccoon (<i>Procyon lotor</i>) Spatial Population Genomics Throughout a Rabies Management Area in Eastern North America","year":2025,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gouvernement du Québec; Ministère des Ressources naturelles et des Forêts; Trent University; Ministry of Natural Resources and Forestry","funders":"Animal and Plant Health Inspection Service; U.S. Department of Agriculture","keywords":"Biological dispersal; Population; Wildlife; Biology; Phylogeography; Ecology; Spatial ecology; Geography; Rabies; Wildlife management; Demography; Phylogenetic tree","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007731599,0.0001057474,0.0001345517,0.00007911568,0.0001569862,0.000006768055,0.0001708112,0.00005330729,0.0001293057],"category_scores_gemma":[0.00001121543,0.0001206158,0.00003710634,0.0003574542,0.0000803285,0.000163101,0.0001290167,0.00008881403,0.00006949112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002721763,"about_ca_system_score_gemma":0.00001561985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379669,"about_ca_topic_score_gemma":0.001411588,"domain_scores_codex":[0.9990448,0.00004394575,0.0003499149,0.000278108,0.0001204545,0.0001628203],"domain_scores_gemma":[0.9995146,0.00006502649,0.000160045,0.0002232295,0.00001361769,0.00002350487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002886095,0.0001415309,0.9787449,0.00002017395,0.00001409012,4.650167e-7,0.00008714311,0.008611956,0.00005730847,0.0006570827,0.0001612367,0.01147525],"study_design_scores_gemma":[0.0003118227,0.00001384123,0.9823424,0.00001697451,0.00002209567,6.056016e-7,0.0001172533,0.01199762,0.00001013603,0.001312071,0.003760988,0.00009418515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8420104,0.00003955752,0.1541059,0.0005082026,0.00005293872,0.0008256168,0.00003199041,0.0000362002,0.002389127],"genre_scores_gemma":[0.9964013,0.00003742401,0.001960463,0.0002846106,0.00002417347,0.0006050958,0.000255883,0.000006166131,0.0004249224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1543908,"threshold_uncertainty_score":0.4918571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007475476648907295,"score_gpt":0.2232839048026355,"score_spread":0.2158084281537282,"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."}}