{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001080387,0.0001200381,0.000144905,0.00006087552,0.00009522696,0.000002591316,0.00008124615,0.0001571206,0.000005685409],"category_scores_gemma":[0.00005351678,0.0001059996,0.00008381341,0.00009657894,0.0002008273,0.00001121356,0.00008732054,0.00007006004,2.642394e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002886409,"about_ca_system_score_gemma":0.0000394509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008553988,"about_ca_topic_score_gemma":0.00004945369,"domain_scores_codex":[0.9992263,0.0001195671,0.0001679424,0.0002200777,0.0001436756,0.0001223875],"domain_scores_gemma":[0.9994642,0.000009707224,0.0001504657,0.0001920046,0.0001425327,0.00004115139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008620549,0.00003148794,0.7644021,0.00004665413,0.00005175581,0.000001603316,0.0004294468,0.00032995,0.2339367,0.00005267224,0.0001974466,0.0004339966],"study_design_scores_gemma":[0.0005341883,0.0001130867,0.97301,0.00001727726,0.00004908754,0.00002994267,0.00003533985,0.0001345884,0.02569906,0.00004315962,0.0002272,0.0001070513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908253,0.006366435,0.002193332,0.00002381808,0.000229814,0.0002233668,0.0001013779,0.0000054613,0.00003108862],"genre_scores_gemma":[0.9991974,0.0002454858,0.0002842718,0.00003588951,0.00003330412,0.000003528727,0.000111289,0.000008187597,0.0000806298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2086079,"threshold_uncertainty_score":0.4322537,"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."}}