{"id":"W2066612783","doi":"10.1139/b10-053","title":"Population genetic structure and phylogeographic patterns in the Chinese endemic species<i>Sagittaria lichuanensis</i>, inferred from cpDNA<i>atp</i>B–<i>rbc</i>L intergenic spacers","year":2010,"lang":"en","type":"article","venue":"Botany","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Sciences; European Molecular Biology Laboratory","keywords":"Biology; Phylogeography; Intergenic region; Isolation by distance; Mantel test; Genetic structure; Biological dispersal; Population; Haplotype; Chloroplast DNA; Gene flow; Genetic variation; Geographical distance; Population genetics; Evolutionary biology; Botany; Ecology; Genetics; Chloroplast; Genotype; Phylogenetics; Gene; Genome; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002957038,0.0001347309,0.000162182,0.001117213,0.0003641222,0.0002415868,0.0001772362,0.0001206592,0.000601934],"category_scores_gemma":[0.000397073,0.00009756131,0.0001980053,0.0007168186,0.0003525497,0.0001612494,0.0002355839,0.0001249888,0.00007048585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003869134,"about_ca_system_score_gemma":0.000253365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008331349,"about_ca_topic_score_gemma":0.0195246,"domain_scores_codex":[0.9998516,0.00002717768,0.00001801887,0.0000562084,0.00002440084,0.00002253977],"domain_scores_gemma":[0.9997768,0.00004537966,0.00007819069,0.00002056688,0.00003857931,0.00004049754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001288399,0.00005350709,0.9493659,0.0000428813,0.0001268384,0.0002503837,0.001403522,0.0007461996,0.03376672,0.0002258121,0.00006959485,0.01381978],"study_design_scores_gemma":[0.000005260233,0.00003408932,0.99801,0.00000379913,0.00001860938,0.00009683639,0.0001870879,0.001238491,0.0002217755,0.00005227644,0.0001272887,0.000004467636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998275,0.00001610858,0.00005290884,0.000002926922,2.533716e-7,0.000001044772,0.00001204162,0.000001205384,0.00008596959],"genre_scores_gemma":[0.9997995,0.00001406134,0.00006769686,0.000003142052,6.671338e-7,0.000002097392,0.00006876207,5.424831e-7,0.00004348192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008331349,"threshold_uncertainty_score":0.01656574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004976735016081551,"score_gpt":0.2108228102912492,"score_spread":0.2058460752751677,"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."}}