{"id":"W3083401255","doi":"10.1038/s42003-020-01169-9","title":"Wireworm (Coleoptera: Elateridae) genomic analysis reveals putative cryptic species, population structure, and adaptation to pest control","year":2020,"lang":"en","type":"article","venue":"Communications Biology","topic":"Entomopathogenic Microorganisms in Pest Control","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Native Mental Health Association of Canada; Agriculture and Agri-Food Canada","funders":"National Institute of General Medical Sciences; Idaho Barley Commission; National Institute of Food and Agriculture; Oregon Potato Commission; U.S. Department of Agriculture; Office of Experimental Program to Stimulate Competitive Research; National Institutes of Health; National Science Foundation","keywords":"Biology; Population; Adaptation (eye); Genome; Species complex; Ecology; PEST analysis; Phylogenetic tree; Zoology; Evolutionary biology; Genetics; Gene; Botany","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009250216,0.000138934,0.0001071226,0.0005200488,0.0001540979,0.0002446171,0.000104157,0.0001175451,0.0005901936],"category_scores_gemma":[0.0002255939,0.00008844712,0.0001092673,0.0005367369,0.0001190511,0.0000877582,0.0001466844,0.000208897,0.0001078225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003206802,"about_ca_system_score_gemma":0.0002047393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024071,"about_ca_topic_score_gemma":0.03196462,"domain_scores_codex":[0.9999439,0.000004970707,0.000002447005,0.00002959173,0.000009416702,0.000009621587],"domain_scores_gemma":[0.9998969,0.00002457996,0.00003700532,0.000007650985,0.00001568288,0.00001813794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005266629,0.00007686929,0.3672061,0.0002005096,0.000181384,0.0002322627,0.00104144,0.001538178,0.587017,0.0005177455,0.000782528,0.04067935],"study_design_scores_gemma":[0.000007381675,0.00004389684,0.9928629,0.00001284063,0.00003785054,0.0000732719,0.0001638253,0.000607148,0.004344884,0.00006873418,0.001773647,0.000003669854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965187,0.0001953725,0.000535323,0.00002751653,0.000001769943,0.000004146933,0.001986844,0.00002399284,0.0007064067],"genre_scores_gemma":[0.9924632,0.0002500712,0.001715324,0.00006510693,0.000002580385,0.000007936308,0.004844133,0.00001155211,0.0006399499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01024071,"threshold_uncertainty_score":0.0203622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03114768386980137,"score_gpt":0.2468835327266766,"score_spread":0.2157358488568752,"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."}}