{"id":"W2115589286","doi":"10.1093/sysbio/syp010","title":"Disentangling Reticulate Evolution in an Arctic–Alpine Polyploid Complex","year":2009,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Newfoundland and Labrador; Akademie der Naturwissenschaften; Universität Zürich; National Health Insurance Service; Université du Québec à Trois-Rivières; American Museum of Natural History; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Biology; Reticulate evolution; Polyploid; Reticulate; Phylogenetic tree; Evolutionary biology; Ploidy; Plant evolution; Coalescent theory; Lineage (genetic); Phylogenetics; Genetics; Genome; Botany; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001973523,0.000132182,0.000251207,0.00007282124,0.00005787099,0.00001626584,0.0001641001,0.0001901644,0.00003412367],"category_scores_gemma":[0.00006925201,0.0001159264,0.00005816808,0.00009464538,0.0000476377,0.000003953602,0.00004670942,0.00006932762,0.000009797756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002691371,"about_ca_system_score_gemma":0.00001864722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001890252,"about_ca_topic_score_gemma":0.00005754201,"domain_scores_codex":[0.998874,0.0002456142,0.0003225869,0.0002822313,0.00006661137,0.0002089384],"domain_scores_gemma":[0.9994171,0.000007256017,0.0001224552,0.000325327,0.00006126146,0.00006655604],"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":[0.0001125295,0.0001169173,0.4159609,0.001634169,0.00005168206,0.000005190025,0.0004103996,0.001314427,0.5703817,0.009867984,0.00003953202,0.0001045248],"study_design_scores_gemma":[0.001692712,0.001044318,0.9724475,0.0007292583,0.00008569694,0.00009863984,0.0009031434,0.004921927,0.00453936,0.01284912,0.00007666387,0.0006116977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962174,0.0003330033,0.002551572,0.0001893154,0.0001464514,0.000370892,0.00000975847,0.00001594226,0.0001656468],"genre_scores_gemma":[0.9986233,0.000004307332,0.0008369189,0.000191182,0.00009423871,0.000005821305,0.0002018346,0.000005429123,0.00003697241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5658423,"threshold_uncertainty_score":0.4727343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849300926031164,"score_gpt":0.2720244583424289,"score_spread":0.2535314490821173,"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."}}