{"id":"W1487755042","doi":"10.1186/1471-2156-6-20","title":"Differential selection and mutation between dsDNA and ssDNA phages shape the evolution of their genomic AT percentage","year":2005,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Selection (genetic algorithm); Genetics; Mutation; Biology; Differential (mechanical device); Mutation Accumulation; DNA; Computational biology; Evolutionary biology; Mutation rate; Gene; Computer science; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006621724,0.0001294834,0.0001159716,0.00003479192,0.0001069158,0.00001765971,0.0000973663,0.0002079963,0.00001477802],"category_scores_gemma":[0.000007872559,0.0000994084,0.00003584622,0.00003974704,0.0001367475,0.00000196613,0.0001792269,0.00005946247,0.000001457405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002746829,"about_ca_system_score_gemma":0.00002503569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001324109,"about_ca_topic_score_gemma":0.0002605268,"domain_scores_codex":[0.9993086,0.00005109817,0.0001815643,0.0002457135,0.00005940432,0.0001535888],"domain_scores_gemma":[0.9996679,0.00001111171,0.00009212615,0.0001577781,0.00003459031,0.00003649304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003230284,0.00001510802,0.0365148,0.0000136305,0.00002535627,4.144892e-8,0.00006131779,0.00001798858,0.9423887,0.00001937758,0.00001940776,0.02089204],"study_design_scores_gemma":[0.0003859954,0.000256577,0.4275125,0.000003231136,0.0000468716,0.00001809291,0.00008811992,0.00162891,0.5678533,0.0000546546,0.002036976,0.0001147468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961301,0.002123664,0.001342806,0.00009421913,0.00005947478,0.0001842581,0.00003233903,0.000008225379,0.00002490273],"genre_scores_gemma":[0.9975913,0.0008180565,0.001070651,0.00001735602,0.0003536784,0.000005700141,0.00005833388,0.00001529206,0.00006964335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3909977,"threshold_uncertainty_score":0.4053757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008887324363580685,"score_gpt":0.2183596125960656,"score_spread":0.2094722882324849,"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."}}