{"id":"W2973257861","doi":"10.3390/antibiotics8040158","title":"Using Colistin as a Trojan Horse: Inactivation of Gram-Negative Bacteria with Chlorophyllin","year":2019,"lang":"en","type":"article","venue":"Antibiotics","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Staedtler Stiftung; Deutsches Zentrum für Luft- und Raumfahrt; Bundesministerium für Bildung und Forschung; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; McMaster University","keywords":"Chlorophyllin; Colistin; Bacteria; Microbiology; Gram-negative bacteria; Antimicrobial; Chemistry; Polymyxin; Salmonella enterica; Bacterial outer membrane; Salmonella; Antibiotics; Escherichia coli; Biology; Biochemistry; Chlorophyll","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":[0.000101121,0.0001977837,0.0002644647,0.00005144649,0.00004508409,0.00002881501,0.0001720044,0.0001726573,0.00007186375],"category_scores_gemma":[0.00008318725,0.0001748524,0.00006008728,0.0001774869,0.0001693354,0.0000114638,0.00006562603,0.00008840045,0.00002586908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002778181,"about_ca_system_score_gemma":0.0001433263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000878495,"about_ca_topic_score_gemma":0.00002048984,"domain_scores_codex":[0.9989263,0.00004888835,0.0002720383,0.0003443159,0.0001700359,0.0002384231],"domain_scores_gemma":[0.9990138,0.0000203478,0.0002878523,0.0004278724,0.0001962402,0.00005387534],"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":[0.0004674807,0.00007972807,0.03884241,0.00006930028,0.00007122758,0.000003361461,0.00008126953,0.00005976281,0.9597837,0.0004081862,0.00004034749,0.0000932004],"study_design_scores_gemma":[0.0006895966,0.0007270479,0.06066804,0.000119645,0.00003619173,0.00001808031,0.000272585,0.0001503294,0.9361663,0.00004106358,0.0008598146,0.0002512402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966046,0.00002123743,0.001394313,0.00002574184,0.0001687544,0.0003291819,0.00002797654,0.00001023767,0.001417907],"genre_scores_gemma":[0.9875622,0.00003476249,0.01141095,0.0000661634,0.0001059249,1.390757e-7,0.00006269355,0.00003949122,0.0007176851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02361736,"threshold_uncertainty_score":0.7130274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317474728221971,"score_gpt":0.2667688786440221,"score_spread":0.2535941313618024,"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."}}