{"id":"W4225113166","doi":"10.1002/ps.6908","title":"Genetic analyses reveal regional structure and demographic expansion of the predominant tea pest <scp><i>Empoasca onukii</i></scp> (Hemiptera: Cicadellidae) in China","year":2022,"lang":"en","type":"article","venue":"Pest Management Science","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Key Research and Development Program of China","keywords":"Biological dispersal; Biology; PEST analysis; Genetic structure; Gene flow; Range (aeronautics); Population; China; Leafhopper; Phylogeography; Microsatellite; Hemiptera; Isolation by distance; Evolutionary biology; Ecology; Botany; Genetic variation; Geography; Genetics; Phylogenetic tree; Gene; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000372764,0.0001673115,0.0001856232,0.001085707,0.0003468118,0.0002507415,0.000234479,0.0001675837,0.0003963074],"category_scores_gemma":[0.0004301108,0.0001081722,0.0003054526,0.001004473,0.0003201734,0.0001543445,0.0002888671,0.0001849227,0.00005535727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004090302,"about_ca_system_score_gemma":0.0003707132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102529,"about_ca_topic_score_gemma":0.01974896,"domain_scores_codex":[0.999813,0.00002534382,0.00001537673,0.00008815881,0.00002832368,0.00002980229],"domain_scores_gemma":[0.9996341,0.0000537685,0.0001305289,0.00003479029,0.00008101631,0.00006580338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008689427,0.00002789422,0.9649558,0.00002981043,0.00009486844,0.0001232255,0.0009744573,0.0006852166,0.02390179,0.000125683,0.00007408385,0.008920259],"study_design_scores_gemma":[0.00000201639,0.00001321049,0.9990427,0.000001648977,0.00001418552,0.00004213097,0.0001158642,0.0004862007,0.0001761061,0.00001758402,0.00008626974,0.000002088924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997227,0.00002666352,0.0001088048,0.000005459728,3.63303e-7,0.000001620307,0.00005171921,0.000001674244,0.00008104063],"genre_scores_gemma":[0.9995976,0.00002282336,0.0001486997,0.000004772302,0.000001019815,0.00000390063,0.0001507199,9.016608e-7,0.00006942668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0102529,"threshold_uncertainty_score":0.02038646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053434635362919,"score_gpt":0.2387070415769234,"score_spread":0.2281726952232942,"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."}}