{"id":"W1991043210","doi":"10.1371/journal.pone.0047214","title":"Allopatry as a Gordian Knot for Taxonomists: Patterns of DNA Barcode Divergence in Arctic-Alpine Lepidoptera","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dello Sviluppo Economico; Koneen Säätiö; Emil Aaltosen Säätiö; Genome Canada; Ontario Genomics; Ontario Ministry of Economic Development and Innovation; Ontario Genomics Institute","keywords":"Allopatric speciation; DNA barcoding; Biology; Disjunct; Genetic divergence; Ecology; Intraspecific competition; Vicariance; Species complex; Evolutionary biology; Taxonomy (biology); Zoology; Phylogeography; Genetic diversity; Phylogenetics; Phylogenetic tree; Population; Genetics","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":[0.0007686807,0.0001680992,0.0002782457,0.001706597,0.0007295607,0.0009890995,0.0002394751,0.0003397746,0.0007717708],"category_scores_gemma":[0.002047645,0.000150024,0.0001476466,0.001132092,0.001120362,0.0005570538,0.0007525407,0.0004093748,0.0001419459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000260488,"about_ca_system_score_gemma":0.0001981999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002043125,"about_ca_topic_score_gemma":0.006659153,"domain_scores_codex":[0.9993595,0.0002260748,0.00004700549,0.0001915617,0.0001107681,0.00006495443],"domain_scores_gemma":[0.9986633,0.0004138787,0.0005500609,0.0001300278,0.0001437672,0.00009892286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002885618,0.00002502767,0.9195607,0.00006971139,0.0001262537,0.0002290527,0.009336724,0.0001843472,0.0429076,0.0006049582,0.0000785001,0.02658853],"study_design_scores_gemma":[0.000002611192,0.00003547557,0.996103,0.00001770698,0.00001709692,0.0003391509,0.001693885,0.0003976614,0.0006510883,0.000249056,0.0004870744,0.00000616044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988117,0.0002804893,0.000483119,0.00002146548,0.000001997578,0.000001968996,0.00002154132,0.000003993064,0.0003737759],"genre_scores_gemma":[0.9994279,0.00006547553,0.0003533592,0.00001881165,0.000002595326,0.000001885991,0.00005467311,0.000002510676,0.00007283289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002043125,"threshold_uncertainty_score":0.004065216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0326155548232337,"score_gpt":0.2365769883880977,"score_spread":0.203961433564864,"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."}}