{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004315431,0.0002191497,0.0001996678,0.0005965254,0.0002571979,0.0002953181,0.0001824925,0.0001752838,0.0005429221],"category_scores_gemma":[0.0009568389,0.0001035915,0.0002332219,0.0005652382,0.0002518391,0.0001154675,0.000233437,0.0001752359,0.00009407357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002066826,"about_ca_system_score_gemma":0.0002552835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007661937,"about_ca_topic_score_gemma":0.01715439,"domain_scores_codex":[0.999647,0.0001054582,0.00002899505,0.0001354624,0.00005159815,0.00003155506],"domain_scores_gemma":[0.9995135,0.0001260377,0.0002429129,0.0000438209,0.00004691321,0.00002675427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001835522,0.00006081765,0.6956373,0.0001387725,0.0002396867,0.0001452275,0.001725303,0.0005439781,0.2685645,0.000505691,0.00006948787,0.03218565],"study_design_scores_gemma":[0.00001054435,0.00008660603,0.9899101,0.00002120373,0.0001096785,0.000294759,0.0002751528,0.001340138,0.006396958,0.0001735269,0.001373177,0.000008171189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980867,0.000177613,0.001092243,0.00001673697,0.000001709094,0.000007854789,0.0001273289,0.000006501201,0.0004834105],"genre_scores_gemma":[0.998108,0.00008219494,0.001486243,0.00001284719,0.000001461032,0.000005474092,0.0002110861,0.000002622664,0.00009010018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007661937,"threshold_uncertainty_score":0.01523471,"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."}}