{"id":"W2141671597","doi":"10.1371/journal.pone.0014280","title":"Towards a Global Barcode Library for Lymantria (Lepidoptera: Lymantriinae) Tussock Moths of Biosecurity Concern","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Guelph; Canadian Forest Service; University of British Columbia; Royal British Columbia Museum","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Genomics Institute; Ontario Genomics; Genome Canada; Canadian Food Inspection Agency; Smithsonian Institution; Tertiary Education Commission; U.S. Department of Agriculture","keywords":"Lymantria dispar; Subspecies; DNA barcoding; Biology; Barcode; Erebidae; Lepidoptera genitalia; Ecology; Evolutionary biology; Zoology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002511988,0.0008752796,0.0009061534,0.002844158,0.00068874,0.001635894,0.001502155,0.001244057,0.002537151],"category_scores_gemma":[0.00669268,0.0005908864,0.0009016576,0.002150317,0.0005943578,0.001301914,0.001502336,0.001836195,0.00311359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009187161,"about_ca_system_score_gemma":0.00224693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003389042,"about_ca_topic_score_gemma":0.004795613,"domain_scores_codex":[0.9983203,0.000292935,0.0001416584,0.0005554642,0.0004984527,0.0001912145],"domain_scores_gemma":[0.9956037,0.0005579577,0.0009892759,0.0004003382,0.002107674,0.0003410469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007209072,0.0005135587,0.02026677,0.001219641,0.0001483945,0.0003375016,0.0009851571,0.002828637,0.8309134,0.001339723,0.002718388,0.1380079],"study_design_scores_gemma":[0.0002266765,0.003043413,0.1109768,0.001033486,0.0009752194,0.002663204,0.001277317,0.03228066,0.7545419,0.001801858,0.09094798,0.0002315678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.454308,0.002614107,0.5067946,0.0009125864,0.00025579,0.002696671,0.02189797,0.005335595,0.005184703],"genre_scores_gemma":[0.2465663,0.001981597,0.6762168,0.001128956,0.0001374911,0.001525878,0.06571795,0.001062783,0.005662214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003389042,"threshold_uncertainty_score":0.01328486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633921438379144,"score_gpt":0.2421975430578246,"score_spread":0.2158583286740332,"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."}}