{"id":"W2127295194","doi":"10.1098/rstb.2005.1724","title":"DNA-based species delineation in tropical beetles using mitochondrial and nuclear markers","year":2005,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":248,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Mitochondrial DNA; DNA barcoding; Dytiscidae; Nuclear DNA; Evolutionary biology; Ribosomal DNA; Nuclear gene; Taxonomic rank; Species complex; Ribosomal RNA; Genus; Phylogenetics; Taxon; Zoology; Genetics; Phylogenetic tree; Ecology; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004110571,0.0002393452,0.0001948055,0.002180862,0.000366058,0.0004878178,0.0002406943,0.0002199439,0.0007541447],"category_scores_gemma":[0.000946396,0.0001288378,0.0002001012,0.0008389693,0.0003334046,0.0004296121,0.0005843767,0.0002105403,0.0001519188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345362,"about_ca_system_score_gemma":0.0001985911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002143744,"about_ca_topic_score_gemma":0.007202539,"domain_scores_codex":[0.9997563,0.00005135439,0.00002448793,0.0001030081,0.00003628347,0.00002867443],"domain_scores_gemma":[0.999184,0.0002186001,0.0004198775,0.00003765861,0.00006456176,0.00007535476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004287873,0.00006304066,0.2022706,0.0006694813,0.0001447075,0.0004533577,0.002936035,0.0009240552,0.6833988,0.0005121366,0.00016387,0.1080353],"study_design_scores_gemma":[0.00001865435,0.0004117886,0.9606005,0.0001739298,0.0001080584,0.0008897493,0.002310657,0.005772119,0.0259021,0.000529402,0.003229581,0.0000534571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960652,0.0009077881,0.002304308,0.00001767523,0.00000432463,0.00001927336,0.0001592178,0.00001532092,0.0005070493],"genre_scores_gemma":[0.987497,0.0004168196,0.01132911,0.00002260992,0.000006911003,0.00003956752,0.0004877076,0.000005720621,0.000194503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002180862,"threshold_uncertainty_score":0.004262507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04938576361141159,"score_gpt":0.2350516074671022,"score_spread":0.1856658438556906,"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."}}