{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001570837,0.0004193284,0.0002680049,0.000178034,0.0001208152,0.000206839,0.0001924177,0.0003714116,0.0005865425],"category_scores_gemma":[0.0001473643,0.0001174188,0.0002163622,0.0001214533,0.0002343404,0.0002575581,0.0002997924,0.0005157883,0.0001407927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001566428,"about_ca_system_score_gemma":0.0001474828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002736536,"about_ca_topic_score_gemma":0.0004021863,"domain_scores_codex":[0.9998556,0.00003371374,0.000008997823,0.00004435267,0.00003089407,0.0000264284],"domain_scores_gemma":[0.9999286,0.00001286634,0.00002443157,0.000009826714,0.000007014269,0.00001723741],"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":[0.00003771387,0.00001255265,0.00006835473,0.00003632436,0.000002807444,0.00002442293,0.000007135562,0.00003693652,0.9987777,0.00003873096,0.00001466401,0.0009425614],"study_design_scores_gemma":[0.000006370109,0.0002340886,0.0005594943,0.000005192338,0.000006570582,0.0000897233,0.000004653064,0.0004280386,0.9969538,0.000017114,0.001692332,0.000002499614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863587,0.00385015,0.008150188,0.000145608,0.00006813254,0.00004361173,0.00006232025,0.0001197086,0.001201754],"genre_scores_gemma":[0.9882487,0.001424568,0.008088979,0.00008074561,0.00001305837,0.00003023361,0.00008685124,0.00002578994,0.002001043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005865425,"threshold_uncertainty_score":0.001962185,"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."}}