{"id":"W4389570084","doi":"10.1101/2023.12.10.569105","title":"Isotope geolocation and population genomics in <i>Vanessa cardui:</i> Short- and long-distance migrants are genetically undifferentiated","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Agencia Estatal de Investigación; Science for Life Laboratory; Government of Canada; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse; Uppsala Multidisciplinary Center for Advanced Computational Science; National Geographic Society","keywords":"Panmixia; Population; Biological dispersal; Geography; Ecology; Isolation by distance; Allopatric speciation; Biology; Genetic structure; Evolutionary biology; Demography; Genetic variation","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":[0.0001540142,0.0001854067,0.0002539503,0.001029583,0.0004064251,0.0004906013,0.0002738728,0.0002689855,0.001380725],"category_scores_gemma":[0.0002852701,0.0001370801,0.0001828909,0.0006482876,0.0003211263,0.0001541109,0.0003641036,0.0002946468,0.0002042845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002683462,"about_ca_system_score_gemma":0.0001180837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007586556,"about_ca_topic_score_gemma":0.01023402,"domain_scores_codex":[0.9998503,0.00001447719,0.000006982618,0.00008062843,0.00001910899,0.00002853883],"domain_scores_gemma":[0.9998399,0.00003228814,0.00005198778,0.00001464877,0.00003447303,0.00002670859],"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":[0.0006418396,0.0001364505,0.3209179,0.00007017543,0.0001721673,0.0001691893,0.001816825,0.000180296,0.6575357,0.0002527524,0.0001880933,0.01791861],"study_design_scores_gemma":[0.000006264063,0.00007861487,0.9951956,0.000005412592,0.00002528318,0.0001355959,0.0004606521,0.0002578093,0.003031868,0.00004022425,0.0007534618,0.000009166924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991756,0.0001086876,0.0001706273,0.000008141763,0.000003232056,0.000003606417,0.0002809996,0.000005212174,0.0002438135],"genre_scores_gemma":[0.9987369,0.00003688021,0.0002995746,0.00002104054,0.000002206711,0.000008430148,0.0005199537,0.000005758684,0.0003691652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007586556,"threshold_uncertainty_score":0.0150848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147134817435828,"score_gpt":0.2174374245177705,"score_spread":0.2027239427741877,"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."}}