{"id":"W2080146215","doi":"10.1371/journal.pone.0101385","title":"DNA Barcodes for Nearctic Auchenorrhyncha (Insecta: Hemiptera)","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Hemiptera Insect Studies","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Auchenorrhyncha; DNA barcoding; Biology; Hemiptera; Mitochondrial DNA; Barcode; Taxon; Evolutionary biology; Phylogenetic tree; Zoology; PEST analysis; Ecology; Genetics; Botany; Gene; Homoptera","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002157149,0.0001497794,0.0002578869,0.000008679945,0.0003244768,0.00005729523,0.0002148195,0.00006983154,0.0002423917],"category_scores_gemma":[0.0003744643,0.00005997051,0.0000867447,0.0001317705,0.00005792486,0.00008820456,0.00008569215,0.00008946295,0.0001086349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002562494,"about_ca_system_score_gemma":0.00000343371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000735571,"about_ca_topic_score_gemma":0.0002276558,"domain_scores_codex":[0.9988969,0.00004098935,0.0001784636,0.0002975778,0.0002215462,0.0003645221],"domain_scores_gemma":[0.9991927,0.000492856,0.00005357797,0.00007409985,0.0001077006,0.00007909489],"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":[0.00003542941,0.0005461854,0.01696169,0.00008175015,0.00009904401,6.440732e-7,0.0002173593,2.250897e-7,0.9644893,0.0003840598,0.001054336,0.01612997],"study_design_scores_gemma":[0.001201768,0.002825055,0.1373533,0.0004444743,0.0002838603,0.000005898143,0.0002055447,0.001693281,0.77794,0.01229164,0.06436665,0.001388555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938202,0.00011158,0.00001347639,0.003008058,0.00004303427,0.000325952,0.00002396244,0.0001355819,0.002518169],"genre_scores_gemma":[0.9960307,0.0000260389,0.001185271,0.000975141,0.0007329796,0.0001371129,0.00002616485,0.00000190486,0.0008846613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1865493,"threshold_uncertainty_score":0.2654019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05572432875316323,"score_gpt":0.2132925999141686,"score_spread":0.1575682711610054,"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."}}