{"id":"W4315979018","doi":"10.1111/eva.13522","title":"Range‐wide population genomics of the spongy moth, <i>Lymantria dispar</i> (Erebidae): Implications for biosurveillance, subspecies classification and phylogeography of a destructive moth","year":2023,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of British Columbia; Natural Resources Canada","funders":"Government of Canada; Russian Science Foundation; Genome Canada","keywords":"Subspecies; Lymantria dispar; Biology; Phylogeography; Population; Dispar; Range (aeronautics); Ecology; Population bottleneck; Evolutionary biology; Zoology; Phylogenetics; Lepidoptera genitalia; Microsatellite; Genetics; Demography","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":[0.0001542784,0.000115277,0.0001476776,0.00009022422,0.0002269934,0.000005090151,0.0001963088,0.0001314798,0.000001592965],"category_scores_gemma":[0.00006904583,0.0001007605,0.0001202425,0.0004125995,0.000455967,0.000008919445,0.00007418561,0.00004851597,0.000001581526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001822617,"about_ca_system_score_gemma":0.00005342545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002057818,"about_ca_topic_score_gemma":0.00002751484,"domain_scores_codex":[0.9991381,0.00005900019,0.0003040762,0.000299671,0.000051357,0.000147802],"domain_scores_gemma":[0.9989595,0.0001304187,0.0002716661,0.0004414408,0.0001632626,0.00003375884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007040018,0.00006183829,0.9255952,0.00003345496,0.00007437175,1.008284e-8,0.00002840991,0.0001044243,0.03765218,0.03307661,0.0004602053,0.002842863],"study_design_scores_gemma":[0.0003026515,0.00003999107,0.9760605,0.000005636181,0.00003135008,0.000003731353,0.00005644855,0.000151493,0.001542727,0.008763605,0.01293718,0.0001047246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739341,0.0006738042,0.02015018,0.00138089,0.00007441251,0.001504941,0.001448465,0.00002865561,0.0008045441],"genre_scores_gemma":[0.9956716,0.0005097131,0.001771764,0.0000451869,0.0001027432,0.0007657667,0.001081805,0.00001206888,0.00003930417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05046524,"threshold_uncertainty_score":0.4108893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383604115818654,"score_gpt":0.2380748582055061,"score_spread":0.2242388170473195,"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."}}