{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009658152,0.0005865356,0.0004486944,0.002299603,0.0008861662,0.0004848546,0.0008426805,0.001009757,0.0113375],"category_scores_gemma":[0.003985303,0.0002326316,0.0002339426,0.001794979,0.0006174504,0.0008349864,0.0007178662,0.001256674,0.005625721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122497,"about_ca_system_score_gemma":0.001630743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007454968,"about_ca_topic_score_gemma":0.01508756,"domain_scores_codex":[0.9987525,0.0001587371,0.00008116144,0.000360761,0.0005359821,0.0001108089],"domain_scores_gemma":[0.9958794,0.0007290728,0.001907142,0.0002643045,0.001030335,0.0001897779],"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":[0.0006844345,0.0001933806,0.05234561,0.00192345,0.00008294819,0.000317977,0.001028871,0.0007319988,0.5973185,0.003401954,0.0152443,0.3267266],"study_design_scores_gemma":[0.000109612,0.001293082,0.219335,0.0009775752,0.0002720159,0.00281308,0.0009028762,0.007227361,0.5078755,0.002169754,0.2568856,0.0001385812],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5390509,0.01356617,0.3541015,0.004403573,0.001425067,0.001948499,0.05209786,0.006972989,0.02643344],"genre_scores_gemma":[0.5089778,0.004441901,0.4224943,0.001547432,0.0003002815,0.001480182,0.03855804,0.0004017851,0.02179823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0113375,"threshold_uncertainty_score":0.03792769,"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."}}