{"id":"W4304693722","doi":"10.1101/2022.10.10.511518","title":"The identity of <i>Argyria lacteella</i> (Fabricius, 1794) (Lepidoptera, Pyraloidea, Crambinae), synonyms, and related species using morphology and DNA capture in type specimens","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northern Research Station; U.S. Forest Service; National Museum of Natural History; Université de Lausanne; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; U.S. Department of Agriculture; Smithsonian Institution; University of Guelph; Animal and Plant Health Inspection Service; National Geographic Society","keywords":"Holotype; DNA barcoding; Biology; Zoology; Evolutionary biology; Phylogenetic tree; Taxonomy (biology); Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003807381,0.0002471744,0.0002045449,0.001542121,0.0005509831,0.0005439226,0.0003752711,0.0003048262,0.001342652],"category_scores_gemma":[0.0006480057,0.0001235673,0.0001858607,0.0005991274,0.0005910075,0.0004240226,0.0008237864,0.0002599244,0.0004508952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003712438,"about_ca_system_score_gemma":0.0001514068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002535093,"about_ca_topic_score_gemma":0.005629315,"domain_scores_codex":[0.9996156,0.00005578999,0.00004038896,0.0001698941,0.00006500752,0.00005323264],"domain_scores_gemma":[0.9995407,0.00005844107,0.0002717439,0.00004195798,0.00004431747,0.0000428328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005751728,0.0000335365,0.5385576,0.000365126,0.00009805798,0.001158693,0.003891486,0.0001678068,0.3721188,0.0003453347,0.0003990844,0.08228927],"study_design_scores_gemma":[0.000007505341,0.0001189566,0.9791899,0.00005440819,0.00004863121,0.002057798,0.001421937,0.0002749331,0.01128633,0.00007937777,0.005443848,0.0000162932],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963259,0.0005645503,0.0009538388,0.00002524883,0.0000144271,0.00002213467,0.0003570105,0.00002384486,0.001713],"genre_scores_gemma":[0.9962753,0.0001518776,0.002847006,0.0000253469,0.00001049555,0.00002672793,0.0003271817,0.000008721442,0.000327344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002535093,"threshold_uncertainty_score":0.005040705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223579004010787,"score_gpt":0.2178220276997455,"score_spread":0.2055862376596377,"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."}}