{"id":"W2545351807","doi":"10.1111/syen.12216","title":"Cryptic diversity in the long‐horn moth <i>Nemophora degeerella</i> (Lepidoptera: Adelidae) revealed by morphology, <scp>DNA</scp> barcodes and genome‐wide <scp>ddRAD</scp> ‐seq data","year":2016,"lang":"en","type":"article","venue":"Systematic Entomology","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Oskar Öflunds Stiftelse; Genome Canada; Suomen Kulttuurirahasto; Government of Canada; Academy of Finland; Ontario Genomics Institute","keywords":"Biology; Species complex; DNA barcoding; Cytochrome c oxidase subunit I; Taxon; Lepidoptera genitalia; Zoology; Mitochondrial DNA; Evolutionary biology; Taxonomy (biology); Ecology; Phylogenetic tree; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002493327,0.0005881796,0.001024452,0.0001717567,0.0003044774,0.00006019921,0.00189701,0.0007717947,0.00002257307],"category_scores_gemma":[0.002426611,0.0003769492,0.0001541947,0.0002159026,0.0007554464,0.00004690072,0.001748567,0.0003399834,0.0001980789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006303043,"about_ca_system_score_gemma":0.00009262577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001486677,"about_ca_topic_score_gemma":0.0001104493,"domain_scores_codex":[0.9944761,0.001944695,0.0009961164,0.00133677,0.0002562858,0.000989969],"domain_scores_gemma":[0.995277,0.001843129,0.0005278762,0.002002859,0.0001272223,0.0002218999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009735458,0.0007794837,0.8873172,0.007592372,0.001735372,0.0007317822,0.002404543,0.00001470526,0.06570236,0.0006013819,0.03215892,0.0008645011],"study_design_scores_gemma":[0.06918289,0.01685826,0.3560225,0.01919282,0.01012761,0.02770291,0.02432371,0.0009029496,0.1057418,0.01829305,0.3445022,0.007149252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805222,0.007144159,0.003883861,0.0008275819,0.0003724272,0.001605871,0.0002155977,0.00004387314,0.005384429],"genre_scores_gemma":[0.9946564,0.0007524878,0.0003617486,0.001894234,0.0002251151,0.0001646616,0.0003891625,0.00003929305,0.001516918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5312947,"threshold_uncertainty_score":0.9998682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02319081255699377,"score_gpt":0.2393958977364507,"score_spread":0.216205085179457,"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."}}