{"id":"W2163842394","doi":"10.1093/genetics/156.1.423","title":"The Evolution of Recombination in a Heterogeneous Environment","year":2000,"lang":"en","type":"article","venue":"Genetics","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":196,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Epistasis; Recombination; Biology; Selection (genetic algorithm); Genetics; Evolutionary biology; Population; Background selection; Allele; Directional selection; Genetic variation; Gene; Computer science","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":[0.001280593,0.0003471359,0.0006078375,0.000645107,0.0008055408,0.001560729,0.0007452005,0.001051299,0.0009464248],"category_scores_gemma":[0.00457632,0.0004127967,0.0006115227,0.0005474845,0.001402571,0.002195457,0.001236898,0.0007486827,0.0002376554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009394407,"about_ca_system_score_gemma":0.0003886394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854191,"about_ca_topic_score_gemma":0.001234169,"domain_scores_codex":[0.9992452,0.0003065555,0.00002360435,0.0001923276,0.00009139702,0.000141025],"domain_scores_gemma":[0.9980817,0.000954232,0.0004032712,0.0002457153,0.00008823079,0.0002269011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003269388,0.0001399986,0.02696522,0.0001499986,0.0002743612,0.00164023,0.0005854135,0.6584132,0.05776649,0.2297927,0.0007470481,0.02319832],"study_design_scores_gemma":[0.0001280432,0.0002648569,0.02250863,0.00002631957,0.0001399733,0.001144956,0.0003274608,0.7608403,0.005476822,0.205469,0.003546832,0.0001268372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9335133,0.0005331808,0.059683,0.0004232422,0.00002134245,0.00001549235,0.00005852738,0.00009424314,0.005657685],"genre_scores_gemma":[0.995716,0.0002190169,0.003189842,0.00004139981,0.00001003078,0.00001332099,0.00003727572,0.00001467245,0.0007583297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001854191,"threshold_uncertainty_score":0.006816149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003164183283640592,"score_gpt":0.2003279633290116,"score_spread":0.197163780045371,"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."}}