{"id":"W3027871934","doi":"10.1101/2020.05.24.112334","title":"<i>In vitro</i> evolution of colistin resistance in the <i>Klebsiella pneumoniae</i> complex follows multiple evolutionary trajectories with variable effects on fitness and virulence characteristics","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Queen's University; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Queen's University Belfast; Oxford Nanopore Technologies","keywords":"Colistin; Biology; Klebsiella pneumoniae; Lipid A; Microbiology; Virulence; Genetics; Bacteria; Gene; Antibiotics; Escherichia coli","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":[0.0004283536,0.0003066632,0.000355729,0.0002356282,0.0002368337,0.0006195159,0.0002799186,0.0003453534,0.0007123425],"category_scores_gemma":[0.0007915405,0.0001605827,0.0003337051,0.0003679714,0.0002131095,0.0002229818,0.0004380202,0.0004218139,0.0002673138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003405908,"about_ca_system_score_gemma":0.0002069309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002770279,"about_ca_topic_score_gemma":0.002046202,"domain_scores_codex":[0.9994066,0.0001686898,0.00007630985,0.0001389432,0.0001210595,0.00008836231],"domain_scores_gemma":[0.9994038,0.0001379041,0.0001518714,0.00009987081,0.0001429135,0.00006347019],"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":[0.0003305982,0.0001499112,0.03647031,0.00006997924,0.00007822533,0.0001072784,0.0002360744,0.0007917586,0.9563736,0.0001997859,0.0001574006,0.005035127],"study_design_scores_gemma":[0.0000233615,0.002750419,0.3257633,0.00003014442,0.0001504046,0.001850479,0.0008543183,0.009209723,0.6551458,0.0002209427,0.003922723,0.00007846019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980742,0.0001698098,0.0008751559,0.00002796055,0.00000504504,0.00002000262,0.0002932149,0.0000104369,0.0005242057],"genre_scores_gemma":[0.9964272,0.0001371024,0.001630031,0.00003847471,0.000004901116,0.00003535891,0.001083446,0.00001839342,0.0006250961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002770279,"threshold_uncertainty_score":0.005508363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008256563943535836,"score_gpt":0.2047644632138686,"score_spread":0.1965078992703328,"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."}}