{"id":"W2077742430","doi":"10.1186/1472-6785-12-24","title":"DNA barcoding of Northern Nearctic Muscidae (Diptera) reveals high correspondence between morphological and molecular species limits","year":2012,"lang":"en","type":"article","venue":"BMC Ecology","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Manitoba; Bishop's University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Churchill Northern Studies Centre; Ontario Ministry of Economic Development and Innovation; University of Guelph; Ontario Genomics Institute; Canadian Nuclear Safety Commission; Genome Canada; Ontario Genomics; University of Manitoba; Ministero dello Sviluppo Economico; Bishop's University","keywords":"DNA barcoding; Biology; Nearctic ecozone; Taxon; Fauna; Range (aeronautics); Genetic divergence; Ecology; Intraspecific competition; Zoology; Species complex; Muscidae; Monophyly; Taxonomy (biology); Evolutionary biology; Phylogenetics; Phylogenetic tree; Genetic diversity; Clade; Population","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":[0.0004032477,0.0001538963,0.000220583,0.001478537,0.0005097657,0.0004189648,0.0003368663,0.0003166439,0.001212789],"category_scores_gemma":[0.00210756,0.0001287536,0.0001095568,0.001177297,0.0005692375,0.0003029777,0.000523944,0.0002718214,0.0003055062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00065027,"about_ca_system_score_gemma":0.0003403552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307287,"about_ca_topic_score_gemma":0.05791893,"domain_scores_codex":[0.9996086,0.00004989115,0.00003739034,0.0001468673,0.0001171819,0.00004013181],"domain_scores_gemma":[0.9986266,0.0003666973,0.0005719405,0.0001008954,0.0002542064,0.00007974921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001912824,0.00003533512,0.8786182,0.0002354364,0.00007152439,0.0001992099,0.001834865,0.0003353242,0.08670624,0.0002512379,0.0002215026,0.03129988],"study_design_scores_gemma":[0.000001571528,0.00003743783,0.995456,0.00002517139,0.00001389157,0.00028814,0.0003740873,0.0003904232,0.002749987,0.00004153831,0.0006172525,0.000004578681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979634,0.0002084835,0.0006352206,0.00001301395,0.000001913826,0.000008687045,0.0002407594,0.000008923177,0.000919576],"genre_scores_gemma":[0.9961816,0.0000951429,0.002589061,0.00003102823,0.000002253731,0.00001762407,0.00081325,0.000004052844,0.0002660335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01307287,"threshold_uncertainty_score":0.02599359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03878273771231566,"score_gpt":0.2449721318756616,"score_spread":0.2061893941633459,"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."}}