{"id":"W2038837161","doi":"10.1111/j.1365-294x.2008.03946.x","title":"Divergent selection and heterogeneous genomic divergence","year":2009,"lang":"en","type":"review","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1209,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Local adaptation; Evolutionary biology; Selection (genetic algorithm); Neutral theory of molecular evolution; Gene flow; Genetic divergence; Adaptation (eye); Genetic drift; Genetics; Natural selection; Divergence (linguistics); Background selection; Ecological speciation; Population; Genome; Genetic variation; Gene; Genetic diversity","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007769043,0.0003575375,0.000605377,0.0001050376,0.000140276,0.00002543184,0.0002504806,0.0006624925,0.0001083738],"category_scores_gemma":[0.00002489327,0.0003627187,0.0002696654,0.0001013693,0.00005639478,0.000001618916,0.0002984194,0.0001708474,0.00005002028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000365757,"about_ca_system_score_gemma":0.0001046572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000729162,"about_ca_topic_score_gemma":0.00003993731,"domain_scores_codex":[0.9984667,0.0001948565,0.0002931952,0.0006394138,0.0000982794,0.0003075943],"domain_scores_gemma":[0.9993481,0.000006903038,0.0001943623,0.0002796848,0.00004866328,0.0001222834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003068415,0.00007557777,0.001054503,0.001410848,0.0007240236,0.0001122676,0.00002956592,0.0004503599,0.002035285,0.0002390691,0.001631695,0.9922061],"study_design_scores_gemma":[0.0001505722,0.0002675096,0.0005337785,0.0000615109,0.0003977784,0.0003164134,0.00000168752,0.000005750682,0.0001411908,0.00007897386,0.9976709,0.0003739309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01264207,0.9860173,0.000351056,0.00001416211,0.0003409696,0.0004298607,0.00004162682,0.00001676677,0.0001462243],"genre_scores_gemma":[0.005512474,0.9929067,0.0004377547,0.0002235413,0.0001251513,0.00001847455,0.0004114758,0.00003043394,0.0003339239],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9960392,"threshold_uncertainty_score":0.9998825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420404783439613,"score_gpt":0.2619099729190305,"score_spread":0.2477059250846343,"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."}}