{"id":"W1964520385","doi":"10.1371/journal.pgen.1000775","title":"Mobile Antibiotic Resistance Encoding Elements Promote Their Own Diversity","year":2009,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Fonds Québécois de la Recherche sur la Nature et les Technologies; Howard Hughes Medical Institute","keywords":"Mobile genetic elements; Biology; Vibrio cholerae; Genetics; Genome; Integrases; Gene; Horizontal gene transfer; Recombination; Antibiotic resistance; Homologous recombination; Genetic recombination; Host (biology); Computational biology; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003863359,0.0004108693,0.0005285834,0.0006822613,0.0002680404,0.0008622528,0.0003659732,0.0005524776,0.001676113],"category_scores_gemma":[0.0009175892,0.0002851208,0.0004165513,0.0004965719,0.0003658813,0.000582995,0.001114879,0.0009225801,0.001022148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002310079,"about_ca_system_score_gemma":0.000167832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008751902,"about_ca_topic_score_gemma":0.0001729965,"domain_scores_codex":[0.9994003,0.00007761225,0.00004542102,0.0001791184,0.0001935491,0.0001039904],"domain_scores_gemma":[0.9991642,0.0002181917,0.0001910855,0.0001777022,0.0001407648,0.0001080171],"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":[0.00004848666,0.00002615081,0.001021795,0.00006066019,0.00001230981,0.00009332582,0.00006063926,0.00008367524,0.9910033,0.0006232821,0.00004831039,0.006918175],"study_design_scores_gemma":[0.00004489446,0.0008401391,0.02845252,0.00006524217,0.0001136415,0.00222709,0.0002674131,0.002733293,0.9243224,0.001815118,0.03907694,0.00004127782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603479,0.002955575,0.02486307,0.0002873164,0.00009696963,0.0001285136,0.0005443158,0.0005197278,0.01025657],"genre_scores_gemma":[0.9831697,0.001124607,0.01089936,0.0001574574,0.00004539507,0.00008118519,0.0008531004,0.0001105791,0.003558694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001676113,"threshold_uncertainty_score":0.005607128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526106766277776,"score_gpt":0.2399393578246763,"score_spread":0.2246782901618986,"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."}}