{"id":"W2113406476","doi":"10.1603/008.102.0117","title":"Distinguishing Between Laboratory-Reared and Greenhouse- and Field-Collected <i>Trichoplusia Ni</i> (Lepidoptera: Noctuidae) Using the Amplified Fragment Length Polymorphism Method","year":2009,"lang":"en","type":"article","venue":"Annals of the Entomological Society of America","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Natural Sciences and Engineering Research Council of Canada; F. Hoffmann-La Roche","keywords":"Biology; Amplified fragment length polymorphism; Trichoplusia; Noctuidae; Lepidoptera genitalia; Bacillus thuringiensis; Population; Canola; Botany; Genetics; Genetic diversity; Bacteria","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":[0.0003199076,0.0001654319,0.0002907678,0.0000113377,0.0002123691,0.0000233277,0.0002652617,0.0001655534,0.000005970663],"category_scores_gemma":[0.0002102546,0.0001015062,0.0001692553,0.000237658,0.0002580256,0.000004324421,0.0001861888,0.000156044,1.064009e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005708078,"about_ca_system_score_gemma":0.00003614184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001963757,"about_ca_topic_score_gemma":0.000002739338,"domain_scores_codex":[0.9988274,0.0001836966,0.0002824609,0.0002660799,0.0001911889,0.0002491846],"domain_scores_gemma":[0.999098,0.0001310388,0.0002675231,0.0002995168,0.0001437646,0.00006017815],"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":[0.0003473435,0.000251934,0.03048312,0.00009031296,0.000596446,0.000002796884,0.002132974,0.0001631502,0.9011369,0.00006227295,0.01414656,0.05058613],"study_design_scores_gemma":[0.001302081,0.002265232,0.1971764,0.0001324574,0.0002617636,0.00001413424,0.0008416392,0.0006810314,0.7741582,0.001888846,0.02056899,0.0007092102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861861,0.002567571,0.006878334,0.003946999,0.00003522444,0.0001941181,0.00002653113,0.000008922395,0.0001561962],"genre_scores_gemma":[0.9812226,0.001087688,0.01221766,0.005281058,0.000104837,0.000002655967,0.000005460418,0.00000845559,0.00006963217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1666933,"threshold_uncertainty_score":0.4139301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874129506908931,"score_gpt":0.3115205389958463,"score_spread":0.282779243926757,"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."}}