{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004189909,0.0003435645,0.0002868956,0.001371166,0.0009361138,0.0004058975,0.0003164176,0.0002572146,0.0003680277],"category_scores_gemma":[0.0003942786,0.0001338519,0.0003686979,0.001259595,0.000592615,0.0002329856,0.0005288147,0.000305243,0.00005401963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263372,"about_ca_system_score_gemma":0.001459154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1168611,"about_ca_topic_score_gemma":0.2478394,"domain_scores_codex":[0.9995118,0.00003402672,0.00002548377,0.0002207975,0.0001201356,0.00008771083],"domain_scores_gemma":[0.9996437,0.00006005791,0.0001093724,0.00003167976,0.00007621077,0.00007896451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002539471,0.00005888344,0.8630011,0.00010577,0.000201553,0.0009755162,0.002987103,0.0008216857,0.09896865,0.0005876914,0.0001372624,0.03190091],"study_design_scores_gemma":[0.000007139743,0.00002857954,0.996503,0.000006626479,0.00004728711,0.0001837829,0.0003627832,0.0009791112,0.001191398,0.00007493079,0.0006019879,0.00001335074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993427,0.00008050846,0.0002111067,0.00001150547,0.000001665621,0.000005135897,0.00005240514,0.000002956008,0.0002919681],"genre_scores_gemma":[0.9990067,0.00008502726,0.0004243265,0.00001430426,0.000001665799,0.000005269464,0.0001747965,0.00000189812,0.0002861076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1168611,"threshold_uncertainty_score":0.2323619,"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."}}