{"id":"W4297457254","doi":"10.1371/journal.pbio.3001808","title":"Low levels of tetracyclines select for a mutation that prevents the evolution of high-level resistance to tigecycline","year":2022,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Health; Universiteit Antwerpen; Genome Institute of Singapore; Uppsala Universitet; Vetenskapsrådet; Vrije Universiteit Brussel; Knut och Alice Wallenbergs Stiftelse; University of Washington; Lunds Universitet; Université Paris-Est Créteil Val-de-Marne; Institut National de la Recherche Agronomique; Institut National de la Santé et de la Recherche Médicale; McMaster University; International Center for Genetic Engineering and Biotechnology","keywords":"Tigecycline; TetR; Biology; Efflux; Genetics; Escherichia coli; Mutation; Tetracycline; Mutant; Gene; Microbiology; Repressor; Antibiotics; Gene expression","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":[0.0002842926,0.0001118274,0.0002130743,0.00005023109,0.00009532455,0.000002720119,0.0003096396,0.0000854173,0.00002134136],"category_scores_gemma":[0.0003391695,0.00008994229,0.00007788831,0.0001411401,0.000101384,0.000002884602,0.0001207998,0.00005942276,7.572077e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004285985,"about_ca_system_score_gemma":0.00009918142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002509698,"about_ca_topic_score_gemma":0.000119057,"domain_scores_codex":[0.9989408,0.0001616111,0.0003200838,0.000291801,0.00009942866,0.0001862616],"domain_scores_gemma":[0.9991587,0.00009224527,0.0002754579,0.0003205126,0.0001293214,0.0000237543],"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":[0.0005722493,0.0001447664,0.009403931,0.00007153541,0.00008710671,2.432261e-7,0.00005137035,0.0001177633,0.987977,0.0004791061,0.0006513076,0.0004435877],"study_design_scores_gemma":[0.0006373442,0.0007748721,0.08694242,0.00002891001,0.00004228034,0.000003577308,0.0001652017,0.00005999566,0.9078476,0.001583615,0.001763728,0.0001504015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823439,0.0002780056,0.01539209,0.000305748,0.0001785041,0.0005697184,0.0008917357,0.000007467693,0.00003289994],"genre_scores_gemma":[0.9947323,0.00001464828,0.004131482,0.00008044972,0.00009403522,0.00007916003,0.0001975481,0.00001652278,0.0006539197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08012938,"threshold_uncertainty_score":0.366774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813906929321649,"score_gpt":0.2819979491791486,"score_spread":0.2538588798859321,"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."}}