{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000308643,0.0003495049,0.0001815759,0.0005832034,0.0003927664,0.0004528724,0.0003961654,0.0002811661,0.0005935692],"category_scores_gemma":[0.0007823969,0.0001860682,0.0001928116,0.0002638907,0.0003895712,0.0001490566,0.000210114,0.0003210947,0.0003105551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004653056,"about_ca_system_score_gemma":0.0004215482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01727521,"about_ca_topic_score_gemma":0.05638337,"domain_scores_codex":[0.9996082,0.00005105557,0.00005566299,0.0001498704,0.00009138908,0.00004381594],"domain_scores_gemma":[0.9992875,0.0002143012,0.0001585264,0.00006346431,0.0001751006,0.0001010511],"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":[0.0001098979,0.00009338658,0.0234589,0.00002956329,0.00001667671,0.0000604269,0.0001600191,0.00006090844,0.9723217,0.00002294634,0.00005269498,0.003612859],"study_design_scores_gemma":[0.00005728596,0.00122013,0.6215388,0.00004965414,0.0001239947,0.001103282,0.001024393,0.002150676,0.3698243,0.00006706401,0.002796748,0.0000437016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945723,0.0001249231,0.003725682,0.00002264663,0.000009834233,0.00009650541,0.0005633853,0.0000637579,0.000820879],"genre_scores_gemma":[0.972077,0.0001715758,0.0221954,0.00009593766,0.000008927685,0.0002056301,0.003694637,0.0000473555,0.001503504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01727521,"threshold_uncertainty_score":0.03434932,"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."}}