{"id":"W2017532417","doi":"10.1371/journal.pone.0115774","title":"Testing DNA Barcode Performance in 1000 Species of European Lepidoptera: Large Geographic Distances Have Small Genetic Impacts","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":179,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Research and Innovation; Genome Canada; Suomen Kulttuurirahasto; Ontario Genomics; Koneen Säätiö; Ontario Genomics Institute","keywords":"DNA barcoding; Biology; Intraspecific competition; Lepidoptera genitalia; Barcode; Wolbachia; Introgression; Biological dispersal; Genetic divergence; Zoology; Ecology; Disjunct; Sympatric speciation; Phylogeography; Evolutionary biology; Phylogenetic tree; Genetic diversity; Genetics; Population","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":[0.002552631,0.0003488563,0.0003421749,0.001355407,0.0004287166,0.0006550939,0.0003885907,0.0007253063,0.0005509516],"category_scores_gemma":[0.01029604,0.0002502769,0.0003795329,0.0008124584,0.0004835839,0.0008747685,0.0007755617,0.0003201716,0.0003195815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003445596,"about_ca_system_score_gemma":0.0001309122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000976,"about_ca_topic_score_gemma":0.002748823,"domain_scores_codex":[0.9969577,0.0009222209,0.0003095113,0.0008883133,0.000775514,0.0001468138],"domain_scores_gemma":[0.9934554,0.003126451,0.001731063,0.0005772181,0.0008567407,0.0002531468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006053946,0.0001307594,0.8642014,0.0001075614,0.0004285172,0.0001138867,0.0006623075,0.001299366,0.1010234,0.0001024195,0.00005507265,0.03126981],"study_design_scores_gemma":[0.000009477307,0.001079276,0.9548203,0.00001924538,0.0001511316,0.0005849523,0.0004599227,0.005037094,0.03709154,0.0001205618,0.0006043091,0.00002214492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984256,0.0001451011,0.001076069,0.000008066876,0.000002953383,0.000007606714,0.00007058525,0.00000902265,0.0002549987],"genre_scores_gemma":[0.9954965,0.00007173861,0.003872609,0.00001717972,0.000002610451,0.00001012707,0.0003387631,0.000007447434,0.0001830638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002552631,"threshold_uncertainty_score":0.01349974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829736859463235,"score_gpt":0.2009391603168244,"score_spread":0.1726417917221921,"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."}}