{"id":"W2956420751","doi":"10.2147/idr.s215084","title":"<p>Synergism of cationic antimicrobial peptide WLBU2 with antibacterial agents against biofilms of multi-drug resistant <em>Acinetobacter baumannii</em> and <em>Klebsiella pneumoniae</em></p>","year":2019,"lang":"en","type":"article","venue":"Infection and Drug Resistance","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jordan University of Science and Technology","keywords":"Acinetobacter baumannii; Microbiology; Antimicrobial; Klebsiella pneumoniae; Minimum bactericidal concentration; Minimum inhibitory concentration; Biofilm; Antimicrobial peptides; MTT assay; Ciprofloxacin; Chemistry; Biology; Bacteria; In vitro; Antibiotics; Pseudomonas aeruginosa; Escherichia coli; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009493253,0.001274324,0.001928332,0.0007245586,0.0008704217,0.0003229271,0.0005534008,0.0008386614,0.000410822],"category_scores_gemma":[0.0001434093,0.001181679,0.0004835378,0.0007364298,0.001141667,0.0009466943,0.0003844821,0.0007507592,0.0001755147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002315436,"about_ca_system_score_gemma":0.0003245781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002079216,"about_ca_topic_score_gemma":0.01028757,"domain_scores_codex":[0.9940043,0.000667267,0.001846687,0.001726856,0.0003832555,0.001371639],"domain_scores_gemma":[0.9957979,0.0003367167,0.001714699,0.001234445,0.0006953185,0.0002209742],"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":[0.002687491,0.0007375187,0.004457469,0.0007851884,0.0006088509,0.00003181973,0.002464893,0.0001120302,0.9681797,0.0006578715,0.01843158,0.0008456114],"study_design_scores_gemma":[0.01946821,0.001162871,0.1661505,0.003779931,0.0008953391,0.000308328,0.0009422812,0.0001751507,0.5069665,0.00008605982,0.2960604,0.004004356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904109,0.002467253,0.0001086207,0.0002869253,0.002014606,0.001315687,0.0007973037,0.0002368121,0.002361892],"genre_scores_gemma":[0.9678106,0.003712964,0.0004448968,0.0003172858,0.0002511244,0.00004376123,0.0006253145,0.0001724076,0.02662163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4612131,"threshold_uncertainty_score":0.9993191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007747853103074652,"score_gpt":0.213115602144159,"score_spread":0.2053677490410843,"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."}}