{"id":"W2072394478","doi":"10.1371/journal.pone.0018749","title":"Barcoding Bugs: DNA-Based Identification of the True Bugs (Insecta: Hemiptera: Heteroptera)","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Hemiptera Insect Studies","field":"Agricultural and Biological Sciences","cited_by":199,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Heteroptera; DNA barcoding; Biology; Hemiptera; Taxon; Intraspecific competition; Species complex; Invertebrate; Fauna; Zoology; Evolutionary biology; Ecology; Phylogenetic tree; Gene; Genetics","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":[0.000685526,0.0003491215,0.0002114597,0.0018009,0.0004275946,0.0005428065,0.0005228753,0.0004047486,0.001971315],"category_scores_gemma":[0.001211371,0.0001495072,0.000112641,0.0007326702,0.0006403645,0.000583184,0.0003814779,0.0004213288,0.0006206675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006971323,"about_ca_system_score_gemma":0.0007344696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01927233,"about_ca_topic_score_gemma":0.04338659,"domain_scores_codex":[0.9995373,0.00004030085,0.0000175337,0.0001144527,0.0002349713,0.00005539232],"domain_scores_gemma":[0.9990227,0.000184546,0.0003471873,0.00004500329,0.0003180421,0.00008252676],"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":[0.0003873431,0.0001173516,0.303759,0.0009590968,0.00008459157,0.0002020828,0.0008155153,0.0003506013,0.4610161,0.0006203433,0.001975226,0.2297128],"study_design_scores_gemma":[0.00003416326,0.0005473111,0.8584697,0.0001685958,0.0001296764,0.002779091,0.001002005,0.003406469,0.1191976,0.0005423676,0.01366664,0.0000563889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541135,0.004749268,0.0302539,0.0003324054,0.0001150571,0.0003296977,0.00375537,0.0003606656,0.005990092],"genre_scores_gemma":[0.9356585,0.001317859,0.05719791,0.000233567,0.0000325194,0.0001104761,0.002733717,0.00002626932,0.002689106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01927233,"threshold_uncertainty_score":0.0383203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08285871992164064,"score_gpt":0.2048904002435557,"score_spread":0.1220316803219151,"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."}}