{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002757736,0.0004278614,0.0003595823,0.002379862,0.000468467,0.001100898,0.0004770974,0.0006758818,0.0006537844],"category_scores_gemma":[0.006437254,0.0002193828,0.0004990905,0.001180717,0.0005879477,0.001022525,0.001164223,0.0004799174,0.0004915735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003650297,"about_ca_system_score_gemma":0.0005473974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168779,"about_ca_topic_score_gemma":0.002452806,"domain_scores_codex":[0.9976204,0.0006940824,0.0001798385,0.0005540361,0.0007143633,0.0002372239],"domain_scores_gemma":[0.9955668,0.001881709,0.001200243,0.0002149208,0.0009281281,0.0002082784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006121396,0.0001676984,0.1483172,0.0007172588,0.0002118021,0.0003617018,0.00138427,0.001635909,0.715327,0.0007011872,0.0002083188,0.1303554],"study_design_scores_gemma":[0.00004837935,0.001650242,0.4324521,0.0003370201,0.0004505962,0.002446776,0.002063579,0.02939249,0.5192853,0.001003121,0.01071127,0.0001591741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738245,0.001923273,0.02176042,0.0001214019,0.00003578572,0.00009788327,0.0005801533,0.0001353386,0.001521241],"genre_scores_gemma":[0.9207772,0.0008988105,0.07580721,0.0001460838,0.0000209002,0.00007798638,0.001497314,0.00004563166,0.0007288501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002757736,"threshold_uncertainty_score":0.01458454,"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."}}