{"id":"W2890415737","doi":"10.1371/journal.pone.0206668","title":"Large geographic distance versus small DNA barcode divergence: Insights from a comparison of European to South Siberian Lepidoptera","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Provincia autonoma di Bolzano - Alto Adige; Oulun Yliopisto; Koneen Säätiö; Ministry of Education and Science of the Russian Federation; Ontario Ministry of Research, Innovation and Science; Suomen Kulttuurirahasto; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Suomalainen Tiedeakatemia; Canada Foundation for Innovation","keywords":"Lepidoptera genitalia; DNA barcoding; Barcode; Divergence (linguistics); Geography; Evolutionary biology; Biology; Zoology; Ecology; Computer science","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":[0.0006812227,0.0001788822,0.0002649887,0.001477496,0.00058117,0.0005448909,0.0002415099,0.0002297239,0.001073279],"category_scores_gemma":[0.001634204,0.00009982716,0.0001801872,0.001370398,0.0004013731,0.0004802368,0.0007007145,0.000278779,0.0001507655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003090494,"about_ca_system_score_gemma":0.0002572869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005577386,"about_ca_topic_score_gemma":0.01793392,"domain_scores_codex":[0.9997142,0.00007535903,0.00003119938,0.00008316383,0.00006286133,0.00003320137],"domain_scores_gemma":[0.9993426,0.0002124433,0.000219262,0.00004479765,0.0001025577,0.0000782413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002615711,0.0000508324,0.8905563,0.0001795711,0.0001907082,0.0004989601,0.006056934,0.0003316489,0.06009099,0.0003088765,0.00008986783,0.04138372],"study_design_scores_gemma":[9.027661e-7,0.00002511871,0.998156,0.000009218618,0.00001256568,0.000193883,0.0006129856,0.0001955465,0.0004749331,0.00006361325,0.0002522363,0.000002853214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987865,0.0002762091,0.0002873259,0.00001676113,0.000001921841,0.000001860096,0.00005234566,0.000002023788,0.000575093],"genre_scores_gemma":[0.9989672,0.0001762329,0.0004684478,0.00002411718,0.00000266956,0.000003584265,0.0002180609,0.000002894173,0.0001368419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005577386,"threshold_uncertainty_score":0.01108986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04039136750623299,"score_gpt":0.2398466195981795,"score_spread":0.1994552520919466,"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."}}