{"id":"W4417502995","doi":"10.3390/insects17010004","title":"Well-Known, Misidentified, or Unnamed? A DNA Barcode-Based Reassessment of the Lepidoptera Fauna of Cyprus Supported by Morphology","year":2025,"lang":"en","type":"article","venue":"Insects","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Staatssekretariat für Bildung, Forschung und Innovation; Canada Foundation for Innovation; UK Research and Innovation; Genome Canada; Ontario Genomics; HORIZON EUROPE Framework Programme","keywords":"Lepidoptera genitalia; Fauna; DNA barcoding; Taxon; Checklist; Species complex; Barcode","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":[0.0005716466,0.0002635321,0.0002150564,0.002285331,0.0006284611,0.0008211742,0.0003806614,0.0002579373,0.00139664],"category_scores_gemma":[0.001795182,0.000119535,0.0002143383,0.001660242,0.0005586215,0.0008423377,0.0004191298,0.0003133535,0.0007801741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005266688,"about_ca_system_score_gemma":0.0005162979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004642489,"about_ca_topic_score_gemma":0.01009488,"domain_scores_codex":[0.9991616,0.0001180527,0.0001286346,0.0002720215,0.0002414619,0.00007832223],"domain_scores_gemma":[0.9978033,0.0003136562,0.0009262172,0.0004503587,0.0003988724,0.0001076853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003426551,0.00005317025,0.577962,0.0008604416,0.0001564267,0.002817749,0.003669239,0.0003774226,0.06281996,0.00138442,0.002916426,0.3466402],"study_design_scores_gemma":[0.000004853349,0.00008738042,0.9607431,0.0001831604,0.0001074797,0.003815803,0.0009600623,0.0008262521,0.006861148,0.0002246842,0.02615604,0.00003001864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842063,0.003846228,0.004231813,0.000261762,0.0001993543,0.00004621322,0.002111211,0.00008728618,0.005009841],"genre_scores_gemma":[0.9835125,0.001776105,0.009256295,0.0002056151,0.0001439181,0.00002568519,0.002936159,0.00003260951,0.00211112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004642489,"threshold_uncertainty_score":0.009230912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034768575628855,"score_gpt":0.2530820676135859,"score_spread":0.2427343818572973,"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."}}