{"id":"W2530132666","doi":"10.1038/srep35275","title":"Molecular evolution of a widely-adopted taxonomic marker (COI) across the animal tree of life","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; Jenny ja Antti Wihurin Rahasto; Oulun Yliopisto; Koneen Säätiö; Ella ja Georg Ehrnroothin Säätiö; Genome Canada; Suomen Kulttuurirahasto; Ontario Genomics; Ontario Genomics Institute","keywords":"Biology; Evolutionary biology; Lepidoptera genitalia; DNA barcoding; Taxonomic rank; Barcode; Phylogenetic tree; Molecular evolution; Phylogenetics; Amino acid; Taxon; Convergent evolution; Tree of life (biology); Zoology; Genetics; Ecology; Gene","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":[0.001089178,0.000130613,0.0001852904,0.00003790278,0.0001057848,0.00001675325,0.0002093378,0.0001482539,0.00003098028],"category_scores_gemma":[0.000396776,0.00007699672,0.0001672633,0.0001352118,0.0008374146,0.000008876046,0.0001598222,0.00004881115,0.000005777933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002025573,"about_ca_system_score_gemma":0.0002325764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003060821,"about_ca_topic_score_gemma":0.00004244831,"domain_scores_codex":[0.9984823,0.00009463137,0.0005109534,0.0005096772,0.0001404206,0.0002620256],"domain_scores_gemma":[0.998342,0.00002355975,0.0004840408,0.0008896214,0.0001938273,0.00006699174],"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":[0.0001608023,0.00006010153,0.06514968,0.00001345998,0.00008401929,0.00001205506,0.00002816817,0.00001194803,0.9264995,0.00009219634,0.001672123,0.00621597],"study_design_scores_gemma":[0.000572478,0.0002505939,0.02361344,0.00005208184,0.00004032067,0.00009929948,0.0001360874,0.00003062781,0.8312935,0.0006081289,0.1430275,0.0002758995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916973,0.0005897107,0.002528082,0.0002265461,0.0009463913,0.0002363144,0.00001820849,0.000007417748,0.003750094],"genre_scores_gemma":[0.9992921,0.000007540448,0.0002284422,0.00003147349,0.00005750771,0.00002378592,0.00002292996,0.000008699709,0.0003275269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1413554,"threshold_uncertainty_score":0.3139835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093679735480451,"score_gpt":0.2304414553805264,"score_spread":0.2195046580257219,"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."}}