{"id":"W2081394426","doi":"10.3897/zookeys.404.7234","title":"DNA barcoding as a screening tool for cryptic diversity: an example from Caryocolum, with description of a new species (Lepidoptera, Gelechiidae)","year":2014,"lang":"en","type":"article","venue":"ZooKeys","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Provincia autonoma di Bolzano - Alto Adige; Government of Canada; Genome Canada; Ontario Genomics; Ontario Genomics Institute","keywords":"DNA barcoding; Gelechiidae; Biology; Subspecies; Lepidoptera genitalia; Taxon; Species complex; Intraspecific competition; Taxonomy (biology); Evolutionary biology; Zoology; Ecology; Phylogenetic tree; Gene; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002442854,0.0004363664,0.0001782145,0.00230714,0.0006537722,0.0005268119,0.0003072845,0.0005688925,0.001029533],"category_scores_gemma":[0.0005023425,0.0001243583,0.0001934231,0.001617359,0.000812583,0.0004925177,0.0009599467,0.0005035354,0.0005607853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004133242,"about_ca_system_score_gemma":0.0002999487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002827365,"about_ca_topic_score_gemma":0.006865319,"domain_scores_codex":[0.9997793,0.00004775352,0.0000183446,0.00005986584,0.00005939956,0.0000353976],"domain_scores_gemma":[0.9995751,0.0001427297,0.0001312499,0.00004053001,0.00005426976,0.00005625532],"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":[0.0002918396,0.0001249601,0.156733,0.0009288035,0.00005348076,0.01135179,0.003898824,0.000546057,0.3973176,0.001459289,0.001252215,0.426042],"study_design_scores_gemma":[0.0000147688,0.0006501605,0.8752985,0.0004626161,0.00007834219,0.03110859,0.002800727,0.001916966,0.03263242,0.0009362748,0.05402417,0.00007654171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654356,0.01328283,0.007301743,0.0005677253,0.00009378503,0.00008299365,0.0005120435,0.00007497667,0.01264844],"genre_scores_gemma":[0.9608921,0.00542296,0.0299137,0.000197299,0.0000652482,0.00005468959,0.000557604,0.0000276788,0.002868774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002827365,"threshold_uncertainty_score":0.005621791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04410961865071748,"score_gpt":0.2243422678691714,"score_spread":0.1802326492184539,"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."}}