{"id":"W1996675266","doi":"10.1098/rsbl.2009.0848","title":"DNA barcodes for 1/1000 of the animal kingdom","year":2009,"lang":"en","type":"article","venue":"Biology Letters","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":333,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of British Columbia; Royal British Columbia Museum; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Genomics; Ontario Genomics Institute; Genome Canada; Gordon and Betty Moore Foundation","keywords":"Biology; DNA barcoding; Barcode; Lepidoptera genitalia; Sympatric speciation; Intraspecific competition; Taxon; Ecology; Population; Zoology; Evolutionary biology","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":[0.001200322,0.000797783,0.0006810663,0.003855508,0.0008292667,0.001163241,0.0009632036,0.001079193,0.04499958],"category_scores_gemma":[0.006093552,0.0003501048,0.0004792605,0.003566132,0.0004616285,0.001659935,0.00112026,0.001830135,0.05035448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006837193,"about_ca_system_score_gemma":0.001061439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361054,"about_ca_topic_score_gemma":0.002481924,"domain_scores_codex":[0.9983322,0.0003438598,0.000244939,0.0003132668,0.0006301216,0.0001356128],"domain_scores_gemma":[0.9961472,0.000645934,0.001269027,0.0006284805,0.000972894,0.0003363853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001005037,0.0001956812,0.02200399,0.001860013,0.0001790894,0.0004045047,0.0009114185,0.0005331961,0.168092,0.01539179,0.1346341,0.6547892],"study_design_scores_gemma":[0.00006138621,0.0002812746,0.0312283,0.0005999813,0.00007286499,0.001238169,0.0002161114,0.001937531,0.0280855,0.004124768,0.9320981,0.00005600302],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1075007,0.02668909,0.4020649,0.005564607,0.007541855,0.002208428,0.2202821,0.01726487,0.2108834],"genre_scores_gemma":[0.1628801,0.008430753,0.4704968,0.002516114,0.0008815199,0.002133849,0.1890003,0.002695101,0.1609655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04499958,"threshold_uncertainty_score":0.1505386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482131108610118,"score_gpt":0.2485512762075555,"score_spread":0.2337299651214543,"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."}}