{"id":"W1416053686","doi":"10.1038/srep12395","title":"DNA barcode reference library for Iberian butterflies enables a continental-scale preview of potential cryptic diversity","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Saint Petersburg State University; Ministerio de Economía y Competitividad; Government of Canada; Genome Canada; Ontario Genomics; Ontario Genomics Institute","keywords":"Species complex; DNA barcoding; Biology; Coalescent theory; Biodiversity; Evolutionary biology; Genetic diversity; Ecology; Diversity (politics); Barcode; Fauna; Species diversity; Vertebrate; Invertebrate; Phylogenetics; Phylogenetic tree; Computer science; 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":[0.001434009,0.0008541849,0.0007057445,0.005286276,0.000896683,0.001050544,0.0008004927,0.001025213,0.004589087],"category_scores_gemma":[0.002749647,0.00024909,0.0005349722,0.003243026,0.0003888506,0.0005846635,0.0007535309,0.0008258027,0.003828433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008150905,"about_ca_system_score_gemma":0.001386292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005421063,"about_ca_topic_score_gemma":0.01215342,"domain_scores_codex":[0.9990065,0.0001654839,0.0001158159,0.0003887112,0.0002410276,0.00008251952],"domain_scores_gemma":[0.9987386,0.0001789725,0.0003944213,0.0002689587,0.0003675417,0.00005147859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007090295,0.0003287036,0.07145698,0.001506135,0.0003590453,0.001116225,0.001145323,0.002916793,0.420321,0.00644324,0.01461002,0.4790875],"study_design_scores_gemma":[0.00007212799,0.0005201647,0.4232157,0.001390974,0.0004827355,0.002811717,0.0008211553,0.01191681,0.1281813,0.004084062,0.4263535,0.0001498138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5812872,0.02115462,0.2283063,0.001439023,0.0008284735,0.0006412515,0.1225867,0.00490811,0.0388484],"genre_scores_gemma":[0.3691474,0.00634494,0.3896769,0.0007892153,0.0002147556,0.001206746,0.2138163,0.0008666916,0.01793716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005421063,"threshold_uncertainty_score":0.01535201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521375551335895,"score_gpt":0.2331711134293258,"score_spread":0.2079573579159668,"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."}}