{"id":"W3132548619","doi":"10.3389/fevo.2021.626752","title":"Evaluating DNA Barcoding for Species Identification and Discovery in European Gracillariid Moths","year":2021,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Kvantum-instituutti, Oulun Yliopisto; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Naturalis Biodiversity Center; Siberian Branch, Russian Academy of Sciences; Russian Foundation for Basic Research; Academy of Finland; University of Guelph; China Scholarship Council; Suomen Kulttuurirahasto; Provincia autonoma di Bolzano - Alto Adige; Oulun Yliopisto; Koneen Säätiö; Smithsonian Institution","keywords":"DNA barcoding; Biology; Monophyly; Species complex; Clade; Evolutionary biology; Intraspecific competition; Barcode; Zoology; Ecology; Phylogenetics; Phylogenetic tree; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005515518,0.00007735375,0.0001144593,0.00006250033,0.00008869547,0.00001764905,0.00004095288,0.0001266127,0.000001048552],"category_scores_gemma":[0.0003319886,0.00008340846,0.00002274376,0.00005306879,0.0001078041,0.00001723648,0.00005853584,0.00007154264,5.23308e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003341384,"about_ca_system_score_gemma":0.00003585705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003187871,"about_ca_topic_score_gemma":0.0001632981,"domain_scores_codex":[0.9991453,0.0001928571,0.00018222,0.0002964287,0.00002197023,0.0001611933],"domain_scores_gemma":[0.9997727,0.00002677198,0.00005710833,0.00009438438,0.00002993603,0.00001915944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000930467,0.00003231614,0.9608098,0.00002576391,0.00002166121,0.000003418669,0.00009080958,0.0000683347,0.02902231,0.0004046989,0.0002164073,0.009211393],"study_design_scores_gemma":[0.00098086,0.0001421797,0.9865608,0.00001911578,0.0000181,0.00001775602,0.0006374418,0.001364246,0.004351933,0.001863227,0.003887045,0.0001573012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799277,0.001688231,0.01635741,0.0002758815,0.0004702834,0.0001578657,0.00001155566,0.000003596762,0.001107505],"genre_scores_gemma":[0.9957227,0.0003692883,0.003231809,0.00008342529,0.00009345676,0.00002718103,0.0001386631,0.000005464072,0.0003280474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02575096,"threshold_uncertainty_score":0.3401298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017964646193535,"score_gpt":0.2535733115011908,"score_spread":0.2356086653076558,"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."}}