{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001310446,0.0001376117,0.0001350114,0.00007322043,0.00009215973,0.000006414449,0.00007341652,0.0002654681,0.00001686057],"category_scores_gemma":[0.00002851356,0.0001428336,0.00004793355,0.00009057297,0.00038415,0.000005333027,0.00008504062,0.00006788522,0.000005555471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003319745,"about_ca_system_score_gemma":0.00002022838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002851153,"about_ca_topic_score_gemma":0.0000170564,"domain_scores_codex":[0.9991124,0.0001008307,0.0001969823,0.0003380545,0.00005052132,0.0002011816],"domain_scores_gemma":[0.9995762,0.000005359959,0.00008805771,0.0001885041,0.00007841362,0.00006348668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003624767,0.00003600667,0.02351307,0.00002162757,0.00002796758,0.000001506644,0.00002834035,0.00009898298,0.9678445,0.007596764,0.0001203625,0.0006746282],"study_design_scores_gemma":[0.01190164,0.007607214,0.5493462,0.0002443156,0.00060472,0.00241809,0.0007732842,0.08131325,0.2560788,0.06366105,0.02208411,0.003967283],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9052998,0.01089648,0.08313452,0.0001488501,0.00008733135,0.0001257495,0.00003860287,0.00001194146,0.0002567063],"genre_scores_gemma":[0.997399,0.000826933,0.001345768,0.0001054115,0.00006123852,0.00000733193,0.0001135712,0.00001021719,0.0001305541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7117656,"threshold_uncertainty_score":0.5824586,"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."}}