{"id":"W2065101394","doi":"10.1093/oxfordjournals.molbev.a004050","title":"Evolution of Microbial Genomes: Sequence Acquisition and Loss","year":2002,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Japan Society for the Promotion of Science; Vetenskapsrådet; Royal Swedish Academy of Sciences","keywords":"Biology; Population; Genetics; Genome; Population size; Evolutionary biology; Gene; Horizontal gene transfer; Effective population size; Selection (genetic algorithm); Genetic variation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000451432,0.0005708886,0.0006167017,0.0003602372,0.000574511,0.001145661,0.001080606,0.001567869,0.00118105],"category_scores_gemma":[0.002044712,0.0003613252,0.0007655834,0.000569457,0.001097295,0.003240399,0.0007772493,0.001101504,0.0006908775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000772112,"about_ca_system_score_gemma":0.0003154956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142036,"about_ca_topic_score_gemma":0.0008017099,"domain_scores_codex":[0.9997789,0.00007616767,0.000007755983,0.00005796205,0.00005701676,0.00002222293],"domain_scores_gemma":[0.9995112,0.0002251488,0.0001263753,0.00006145758,0.0000325565,0.00004315808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003753036,0.0001573904,0.01720025,0.0006416428,0.0001812542,0.001145485,0.001152858,0.4504014,0.07688566,0.3658285,0.003306946,0.08272335],"study_design_scores_gemma":[0.00006129809,0.0003062106,0.004918052,0.00007123157,0.0001133156,0.001240735,0.0001730865,0.7057542,0.007891462,0.2619542,0.01743726,0.0000789817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4711834,0.01053412,0.4955539,0.00562429,0.0001867687,0.00006381846,0.0003939445,0.0006278095,0.01583184],"genre_scores_gemma":[0.9514264,0.003619654,0.0395608,0.0003270586,0.0001133529,0.0001131993,0.0001890305,0.0001024451,0.004548055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001567869,"threshold_uncertainty_score":0.005602121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00609587727351247,"score_gpt":0.236597111031188,"score_spread":0.2305012337576756,"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."}}