{"id":"W2000564475","doi":"10.1111/j.1558-5646.2008.00415.x","title":"MOLECULAR DEMOGRAPHIC HISTORY OF THE ANNUAL SUNFLOWERS<i>HELIANTHUS ANNUUS</i>AND<i>H. PETIOLARIS</i>-LARGE EFFECTIVE POPULATION SIZES AND RATES OF LONG-TERM GENE FLOW","year":2008,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; National Institutes of Health; National Science Foundation","keywords":"Biology; Introgression; Gene flow; Coalescent theory; Population; Demographic history; Effective population size; Helianthus annuus; Gene pool; Evolutionary biology; Lineage (genetic); Reproductive isolation; Local adaptation; Genetic variation; Genetic diversity; Genetics; Gene; Phylogenetics; Sunflower; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001954852,0.00008468384,0.00006513963,0.0004170555,0.000149667,0.00012242,0.0001106225,0.0001029846,0.0004084416],"category_scores_gemma":[0.0002214092,0.00005897519,0.0001145111,0.0002204615,0.00009473125,0.0001316403,0.00009164715,0.0001342459,0.00006925973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002528741,"about_ca_system_score_gemma":0.00009225849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002414746,"about_ca_topic_score_gemma":0.003505625,"domain_scores_codex":[0.9999634,0.000005265093,0.000002770606,0.00001709504,0.000005829978,0.000005654991],"domain_scores_gemma":[0.9998465,0.00003421242,0.00006916914,0.000007869208,0.00001626957,0.00002597511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002834457,0.00005309974,0.6671764,0.0000562579,0.00005978956,0.0001517459,0.0007576681,0.001210868,0.3104702,0.000455548,0.0001296152,0.0191953],"study_design_scores_gemma":[0.00000304118,0.00002969458,0.9965131,0.000002615877,0.00001096189,0.0000761334,0.00006871393,0.0006604245,0.002239843,0.0000381826,0.0003546471,0.000002778247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996067,0.00003766021,0.0001423505,0.000005015006,5.381827e-7,8.70562e-7,0.0001103006,0.000002871955,0.00009361123],"genre_scores_gemma":[0.9989711,0.00004104283,0.0003692664,0.000006691577,0.000001838982,0.000003446717,0.000492584,0.000001857399,0.0001122848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002414746,"threshold_uncertainty_score":0.004801393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004659738743635138,"score_gpt":0.2014182140582312,"score_spread":0.196758475314596,"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."}}