{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001630838,0.0001186189,0.0001393141,0.00002062115,0.00007245677,0.000003369933,0.0002735804,0.0001804178,0.000006900072],"category_scores_gemma":[0.00006625042,0.00007960275,0.0001494192,0.00003704728,0.0002412312,0.000001810553,0.00004565433,0.00006393884,0.000002500227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005671473,"about_ca_system_score_gemma":0.00002491196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006131309,"about_ca_topic_score_gemma":0.000004490449,"domain_scores_codex":[0.9992736,0.0000682735,0.0001644186,0.0002466087,0.00002202439,0.0002250816],"domain_scores_gemma":[0.999548,0.00003723455,0.00009251824,0.0002692212,0.00002773158,0.00002524983],"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":[0.0001556971,0.00002686772,0.01655921,0.000004037656,0.00004461926,2.772077e-7,0.00001361783,0.000002956773,0.9750556,0.00132149,0.00172891,0.005086679],"study_design_scores_gemma":[0.0007372229,0.0006889391,0.01419477,0.00001039214,0.00003006559,0.00001217669,0.00001072721,0.000007577219,0.6857255,0.000256389,0.2981104,0.000215845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870652,0.0001706977,0.001817424,0.008839555,0.0002291291,0.0002363789,0.00003684998,0.00000884689,0.001595939],"genre_scores_gemma":[0.9905751,0.000008277058,0.0006213161,0.008394986,0.0002930506,0.00001925623,0.00005403912,0.000005568658,0.00002841167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2963814,"threshold_uncertainty_score":0.3246106,"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."}}