{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002637885,0.0004039794,0.0006057281,0.0004117476,0.0001802468,0.0006354371,0.0005192474,0.0005147919,0.001309985],"category_scores_gemma":[0.0009668874,0.0002384387,0.0002506122,0.0002554654,0.0002594349,0.0002267267,0.000596797,0.000650814,0.0005143312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003576264,"about_ca_system_score_gemma":0.000330013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008305843,"about_ca_topic_score_gemma":0.001970854,"domain_scores_codex":[0.9990203,0.0002090605,0.0001011494,0.0001591753,0.0003581523,0.0001522393],"domain_scores_gemma":[0.9991102,0.000251118,0.0002161136,0.0001256769,0.000110424,0.0001864516],"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":[0.00003597284,0.00004785097,0.0005112868,0.00001792409,0.000004511832,0.0000288056,0.0000091805,0.00002747664,0.9984639,0.00002969174,0.00002237765,0.0008010328],"study_design_scores_gemma":[0.00001933416,0.001237606,0.01812227,0.00001511618,0.00003278027,0.0006674693,0.0000700431,0.001356362,0.9759904,0.00009053684,0.00238053,0.00001755932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951901,0.0005462589,0.002529571,0.0001718405,0.0000227276,0.0000413409,0.0002008126,0.00008158385,0.001215687],"genre_scores_gemma":[0.992656,0.0002997318,0.004070946,0.0001315199,0.00001978411,0.00004726706,0.0005020723,0.00007204383,0.002200611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001309985,"threshold_uncertainty_score":0.004382372,"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."}}