{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002843582,0.0001133518,0.0001299632,0.0004565676,0.0001711892,0.0002790834,0.00009402235,0.0001559064,0.0005342914],"category_scores_gemma":[0.0002572018,0.00006485551,0.0001812518,0.0003555647,0.0001445598,0.0001238383,0.0002037572,0.0002119387,0.00007827978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146504,"about_ca_system_score_gemma":0.00009562687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00185463,"about_ca_topic_score_gemma":0.003469444,"domain_scores_codex":[0.9999089,0.00001832603,0.000005536798,0.0000456559,0.00001029826,0.00001132313],"domain_scores_gemma":[0.9998251,0.00004941026,0.00006744771,0.00001217538,0.00001974863,0.00002614479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002735622,0.00009594808,0.6749337,0.00006854734,0.0002697822,0.0001747015,0.001317278,0.001358453,0.2962376,0.0003081374,0.0002498373,0.02471254],"study_design_scores_gemma":[0.000004813511,0.00004595899,0.9978191,0.0000039831,0.00002081142,0.00008773767,0.0002100566,0.0005929611,0.0008469893,0.00005020086,0.0003143733,0.000002975697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992628,0.00003877931,0.0003666139,0.0000125663,5.586799e-7,0.000001969398,0.0001580432,0.000003806428,0.0001548578],"genre_scores_gemma":[0.9990983,0.00002900653,0.0004622383,0.00001908648,0.000001462226,0.000004567354,0.0002899703,0.000002934119,0.00009245259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00185463,"threshold_uncertainty_score":0.003687739,"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."}}