{"id":"W2042238125","doi":"10.1111/jen.12114","title":"Real‐time <scp>PCR</scp> for identification of the soybean aphid, <i>Aphis glycines</i> Matsumura","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Entomology","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Agriculture and Agri-Food Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; Washington State University","keywords":"Soybean aphid; Biology; Aphid; PEST analysis; DNA barcoding; DNA extraction; Aphis; Identification (biology); Barcode; Biotechnology; Polymerase chain reaction; Aphididae; Botany; Homoptera; Gene; Genetics; Ecology; Computer science","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":[0.0009922321,0.001189454,0.0006049126,0.00136311,0.000492625,0.0007122793,0.0006995198,0.001011666,0.005399226],"category_scores_gemma":[0.00159582,0.0005384558,0.0008775009,0.0008413914,0.000698694,0.0005887237,0.0004491514,0.001237449,0.003443292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004969417,"about_ca_system_score_gemma":0.0007398094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008946109,"about_ca_topic_score_gemma":0.001981911,"domain_scores_codex":[0.9979084,0.0003746573,0.0001608046,0.0008966898,0.0005279689,0.0001315109],"domain_scores_gemma":[0.9990025,0.0002826583,0.0002142695,0.00009543024,0.0003441918,0.000060947],"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":[0.0001306567,0.00007997235,0.001658265,0.0001776821,0.00001629134,0.0001401849,0.0001248583,0.0002416781,0.9871559,0.0003666343,0.001168254,0.008739704],"study_design_scores_gemma":[0.00006065605,0.0008500451,0.01757608,0.0001579872,0.0001259072,0.0007429981,0.0002617738,0.01992716,0.9261956,0.0006287134,0.03338439,0.00008879451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3956613,0.002874043,0.5406802,0.001210829,0.001330227,0.003224595,0.0210536,0.00767112,0.02629401],"genre_scores_gemma":[0.3861966,0.001308431,0.5678629,0.001469977,0.0001935359,0.004339117,0.01777655,0.001073535,0.01977933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005399226,"threshold_uncertainty_score":0.01806223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007526046428308993,"score_gpt":0.2096759505964315,"score_spread":0.2021499041681225,"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."}}