{"id":"W2019204269","doi":"10.1111/1755-0998.12363","title":"<scp>DNA</scp> barcoding largely supports 250 years of classical taxonomy: identifications for <scp>C</scp>entral <scp>E</scp>uropean bees (<scp>H</scp>ymenoptera, <scp>A</scp>poidea <i>partim</i>)","year":2015,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":252,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Research and Innovation; Ontario Ministry of Research, Innovation and Science; Genome Canada; Ontario Genomics; Bundesministerium für Bildung und Forschung; Directorate for Biological Sciences; Ontario Genomics Institute","keywords":"DNA barcoding; Biology; Barcode; Taxonomy (biology); Fauna; Evolutionary biology; Zoology; Intraspecific competition; Species complex; Ecology; Genetics; Gene; Phylogenetic tree","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":[0.001712886,0.0002743519,0.0002589611,0.002118536,0.0005611454,0.0007812715,0.0005686395,0.0005266181,0.0009929418],"category_scores_gemma":[0.004457668,0.0001592157,0.0001902607,0.0022316,0.001360563,0.001189982,0.0008625313,0.0004165133,0.0009958924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005251529,"about_ca_system_score_gemma":0.0007151837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003674863,"about_ca_topic_score_gemma":0.007590013,"domain_scores_codex":[0.998578,0.000260444,0.0001310609,0.0004273855,0.00052295,0.00008023285],"domain_scores_gemma":[0.994033,0.001200149,0.001884857,0.00121238,0.001449257,0.0002203853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002680061,0.00007265605,0.4234248,0.001068146,0.0002283565,0.0007605351,0.00463346,0.000937912,0.1116405,0.004879469,0.002589396,0.4494968],"study_design_scores_gemma":[0.0000101492,0.0002529365,0.9109181,0.0005323362,0.0001013831,0.001322693,0.002126494,0.002245996,0.02352207,0.002232577,0.05666826,0.0000669797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675002,0.002214635,0.01740517,0.0004908537,0.0001750937,0.00004237685,0.001609129,0.0001317725,0.01043076],"genre_scores_gemma":[0.9823286,0.001105428,0.01306926,0.0003030422,0.00007465752,0.00003269986,0.001972489,0.00002411879,0.001089697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003674863,"threshold_uncertainty_score":0.009058714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0404843151612484,"score_gpt":0.2242534011761478,"score_spread":0.1837690860148994,"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."}}