{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005150516,0.00009873977,0.0002507825,0.00003038753,0.0001268825,0.00002634905,0.0003503448,0.00009912378,0.00005768517],"category_scores_gemma":[0.00007264764,0.00003480538,0.0001911415,0.0001546011,0.00005620424,0.00005883739,0.00002757975,0.0001261508,0.00001854206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001975975,"about_ca_system_score_gemma":0.00001036375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004615738,"about_ca_topic_score_gemma":0.00003338909,"domain_scores_codex":[0.9989687,0.00005381256,0.000517553,0.0001182608,0.0001585355,0.0001831836],"domain_scores_gemma":[0.9983931,0.0005392639,0.0007648522,0.00007405038,0.0001821273,0.00004657292],"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":[0.00008014213,0.00007584078,0.0002337304,0.000006510253,0.00003494844,5.022074e-7,0.00006882475,0.00002332406,0.9843314,0.004864265,0.004289572,0.005990899],"study_design_scores_gemma":[0.003414723,0.002063831,0.116213,0.0001002205,0.000523832,0.0009474728,0.001582723,0.002221418,0.5812578,0.06072008,0.2305769,0.0003779635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949714,0.00001560349,0.0001069126,0.0007418416,0.0004175359,0.0001921454,0.00002778555,0.00000987272,0.003516909],"genre_scores_gemma":[0.9987183,0.00002340169,0.00007541056,0.0001947839,0.000464465,0.00001305357,0.000011671,0.000001474609,0.0004973972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4030736,"threshold_uncertainty_score":0.1419322,"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."}}