{"id":"W2951060192","doi":"10.1016/j.ijantimicag.2018.12.013","title":"Interspecies DNA acquisition by a naturally competent Acinetobacter baumannii strain","year":2019,"lang":"en","type":"article","venue":"International Journal of Antimicrobial Agents","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; Toronto Public Health","funders":"Research and Development; Office of Research and Development; National Institute of General Medical Sciences; NIH Clinical Center; National Institutes of Health; National Institute of Allergy and Infectious Diseases; U.S. Department of Veterans Affairs","keywords":"Acinetobacter baumannii; Biology; In silico; Genetics; Klebsiella pneumoniae; Gene; Microbiology; Genome; Multiple drug resistance; Transformation (genetics); Antimicrobial; Antibiotic resistance; DNA sequencing; Drug resistance; Bacteria; Pseudomonas aeruginosa; Escherichia coli","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":[0.0002833145,0.0005038197,0.0004153574,0.0004390763,0.000383542,0.0006276341,0.0005854981,0.0006335033,0.001444498],"category_scores_gemma":[0.0008838413,0.0002339709,0.0003220436,0.0003624978,0.0003274469,0.0003465257,0.0006401217,0.0008121452,0.0004680683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006028009,"about_ca_system_score_gemma":0.0006373446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004156936,"about_ca_topic_score_gemma":0.003636856,"domain_scores_codex":[0.9993111,0.0001333374,0.00006361087,0.0001440007,0.0001977189,0.0001502139],"domain_scores_gemma":[0.9994034,0.0001685738,0.0001224516,0.0001044071,0.00008743467,0.0001137312],"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":[0.0003435202,0.0002645641,0.001839618,0.00004312145,0.00001329905,0.0001985322,0.00008780714,0.0001171261,0.9947522,0.0001849345,0.00006559814,0.002089711],"study_design_scores_gemma":[0.0001080848,0.00539315,0.06512058,0.00003046373,0.0001075997,0.003609784,0.001563407,0.003172337,0.917955,0.0003453048,0.002525294,0.00006890741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987175,0.0001115606,0.0003245344,0.00007861429,0.00002881833,0.00001590548,0.000134987,0.00002340562,0.000564625],"genre_scores_gemma":[0.9974757,0.00008539976,0.0006848632,0.0000475562,0.00001767515,0.00001846468,0.0004188114,0.00002195152,0.001229517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004156936,"threshold_uncertainty_score":0.008265495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005592930157618386,"score_gpt":0.243324403166426,"score_spread":0.2377314730088076,"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."}}