{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001756916,0.0001684527,0.0002252019,0.00004264441,0.0001835108,0.0000286164,0.0002051911,0.0001519985,0.0001233807],"category_scores_gemma":[0.00004729096,0.0001552869,0.00009001474,0.00004347707,0.00008783312,0.00002138189,0.0001463947,0.0000725595,0.00001264076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001232847,"about_ca_system_score_gemma":0.00004880323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00344282,"about_ca_topic_score_gemma":0.0003715036,"domain_scores_codex":[0.9990187,0.00006853583,0.0001818899,0.0003982627,0.00008477779,0.0002478482],"domain_scores_gemma":[0.9993473,0.00004816087,0.0001179859,0.0003247907,0.00006990804,0.00009187203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002102696,0.000167911,0.808764,0.00007358333,0.0005122652,0.000005338874,0.001494848,0.00013494,0.1302434,0.001064993,0.001281035,0.05415493],"study_design_scores_gemma":[0.0149287,0.009120402,0.1587063,0.0004072168,0.0007558488,0.00001663532,0.001409187,0.001968375,0.3693159,0.003377769,0.4375801,0.002413571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8507816,0.00006027773,0.1388917,0.0000423317,0.00007358844,0.0003173645,0.000006728832,0.00001703159,0.009809425],"genre_scores_gemma":[0.9778711,0.00001204831,0.01924615,0.0003043059,0.0004978893,0.00002494548,0.0002354076,0.00001440708,0.001793764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6500577,"threshold_uncertainty_score":0.6332417,"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."}}