{"id":"W2623842885","doi":"10.1007/s10530-017-1471-8","title":"Differential invasion success in aquatic invasive species: the role of within- and among-population genetic diversity","year":2017,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Genetic diversity; Invasive species; Ecology; Introduced species; Population; Genetic variation; Intraspecific competition; Genetic divergence; Neogobius; Zoology; Evolutionary biology; Genetics","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":[0.00009326752,0.0001251795,0.0001613996,0.000034221,0.0005881256,0.00003927475,0.0004103238,0.0002051405,0.00004508063],"category_scores_gemma":[0.00039482,0.0000800333,0.00006270998,0.00004012423,0.0003872835,0.000008729377,0.001026826,0.0001005866,0.000001866783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007260081,"about_ca_system_score_gemma":0.00001699685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008616542,"about_ca_topic_score_gemma":0.002000304,"domain_scores_codex":[0.9991689,0.0001085338,0.0001979133,0.0002691607,0.0001184554,0.0001370526],"domain_scores_gemma":[0.999263,0.00004562351,0.0002147712,0.0003811743,0.00003295151,0.00006248234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003647133,0.00002687341,0.9470749,0.000004237398,0.00001387306,0.000001213254,0.0001589665,0.00004986896,0.05195652,0.0002736425,0.00002531378,0.0003781402],"study_design_scores_gemma":[0.0003096978,0.0001092759,0.9831417,0.00001494377,0.00001703796,0.000002320545,0.0002839154,0.00007364749,0.01342672,0.002421944,0.0000923335,0.0001064766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991102,0.0001406037,0.00005419962,0.00007296963,0.0001090838,0.0002179556,0.00002400206,0.000004289255,0.0002667381],"genre_scores_gemma":[0.9993516,0.0002636562,0.0001383431,0.00004270241,0.00006134284,0.00000394056,0.00007328659,0.000003727316,0.00006144474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0385298,"threshold_uncertainty_score":0.4523446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0733775676311117,"score_gpt":0.2426250948404106,"score_spread":0.1692475272092989,"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."}}