{"id":"W2018582209","doi":"10.1111/eva.12257","title":"Genotyping‐by‐sequencing approach indicates geographic distance as the main factor affecting genetic structure and gene flow in Brazilian populations of <i>Grapholita molesta</i> (Lepidoptera, Tortricidae)","year":2015,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Insect Pheromone Research and Control","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Biology; Gene flow; Genetic structure; Genotyping; Tortricidae; Population; PEST analysis; Isolation by distance; Population genetics; Evolutionary biology; Lepidoptera genitalia; Ecology; Genetics; Genetic variation; Genotype; Botany; Gene; Demography","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":[0.0001615723,0.0001425928,0.0001546278,0.00004337401,0.0003625533,0.00003708712,0.000283391,0.00008735304,0.00002687664],"category_scores_gemma":[0.00004924193,0.00006731168,0.00005694351,0.0008200651,0.0001782609,0.0001147346,0.00006500707,0.0001995158,0.000003250173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008324043,"about_ca_system_score_gemma":0.00004716112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383646,"about_ca_topic_score_gemma":0.0004888729,"domain_scores_codex":[0.9986762,0.0001493385,0.0002714983,0.0003231344,0.0002707152,0.000309109],"domain_scores_gemma":[0.9993861,0.0001416845,0.0001175408,0.0001291849,0.00008202344,0.0001435169],"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":[0.0000857427,0.0003448653,0.4414224,0.00004363105,0.00006598605,0.000003695028,0.001057048,0.002007354,0.4911114,0.005415568,0.0005130991,0.05792924],"study_design_scores_gemma":[0.0003024013,0.0001163478,0.9752179,0.00001461098,0.00001756048,0.00003578072,0.0007037667,0.004860565,0.00142714,0.01636474,0.0006766919,0.000262523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919009,0.004834567,0.001362606,0.0004493638,0.00001522921,0.0008005757,0.0003489206,0.00002978017,0.000258098],"genre_scores_gemma":[0.9974489,0.00009017506,0.001814175,0.00006073995,0.00009211012,0.0002148222,0.0002497529,0.00000228559,0.00002703866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5337955,"threshold_uncertainty_score":0.2788504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573959239264315,"score_gpt":0.226955734611049,"score_spread":0.2112161422184058,"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."}}