{"id":"W4366829008","doi":"10.3390/plants12091734","title":"Multiple Introductions and Distinct Genetic Groups of Canada Goldenrod (Solidago canadensis) in China Revealed by Genomic Single-Nucleotide Polymorphisms","year":2023,"lang":"en","type":"article","venue":"Plants","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Biology; China; Genetic diversity; Sympatric speciation; Context (archaeology); Phylogenetic tree; Genetic structure; Evolutionary biology; Population bottleneck; Solidago canadensis; Genetic variation; Ecology; Invasive species; Genetics; Microsatellite; Population; Geography; Gene; Allele; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004910723,0.0001067649,0.0001344644,0.00005357516,0.00006934733,0.000008287124,0.0001029096,0.00006878936,0.00001574529],"category_scores_gemma":[0.00004693736,0.0001166006,0.00001920598,0.0001005655,0.00004087099,0.000002085681,0.00008084819,0.00005642223,0.000001614426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002600753,"about_ca_system_score_gemma":0.00009075983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1181295,"about_ca_topic_score_gemma":0.5095646,"domain_scores_codex":[0.9992297,0.00003520086,0.0001718327,0.0002474715,0.0001032921,0.0002124993],"domain_scores_gemma":[0.9996488,0.0000118518,0.00006725651,0.000171713,0.00001647009,0.00008391716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005667641,0.00002159796,0.4992008,0.00002228389,0.00004610489,0.00001431493,0.0001592511,0.0004914899,0.4654903,0.000002418242,0.03356884,0.0009259551],"study_design_scores_gemma":[0.0004209276,0.0000372405,0.9837784,0.000007702841,0.00001140824,0.00002568831,0.00009304782,0.0001005295,0.009548413,0.00002592014,0.005812544,0.0001381679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984131,0.0003161955,0.000009916621,0.0002153289,0.0002986694,0.0001029192,0.0005617768,0.000006139112,0.00007591022],"genre_scores_gemma":[0.9986961,0.00008281069,0.00008451338,0.00004636782,0.0001117665,0.000002091341,0.0004188928,0.00001024303,0.0005471835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4845776,"threshold_uncertainty_score":0.8877429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007130434663589591,"score_gpt":0.1846094922508902,"score_spread":0.1774790575873006,"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."}}