{"id":"W4416414534","doi":"10.3390/antibiotics14111172","title":"Machine Learning-Identified Potent Antimicrobial Peptides Against Multidrug-Resistant Bacteria and Skin Infections","year":2025,"lang":"en","type":"article","venue":"Antibiotics","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Leids Universitair Medisch Centrum; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit Leiden; European Commission","keywords":"Antimicrobial; Bacteria; Antimicrobial peptides; Identification (biology); Skin infection; Antibiotics; Peptide","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003460898,0.0005411939,0.0004405834,0.0004594397,0.0001031732,0.0004562405,0.0003016341,0.0004005452,0.001090371],"category_scores_gemma":[0.0005394159,0.0001189959,0.0004130609,0.0003297026,0.0001814498,0.00031506,0.0003473441,0.0004460151,0.0006130841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003140805,"about_ca_system_score_gemma":0.0002836245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001759797,"about_ca_topic_score_gemma":0.0001928743,"domain_scores_codex":[0.9998189,0.00002862054,0.00001437995,0.00004348499,0.00006843486,0.00002617819],"domain_scores_gemma":[0.9998088,0.00004679462,0.00006580422,0.0000153667,0.00003982183,0.00002337618],"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":[0.0003827682,0.0002398673,0.004234058,0.0005230703,0.00004737809,0.0001908803,0.00002765551,0.02997692,0.8827579,0.0006599792,0.0006599716,0.08029966],"study_design_scores_gemma":[0.0001006751,0.0028773,0.007129096,0.0001045331,0.0001148044,0.001375728,0.00004364045,0.1879893,0.7872989,0.001231084,0.01167549,0.00005945495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9379817,0.007185851,0.04721211,0.0003848167,0.000081333,0.0001977413,0.001267673,0.0005959209,0.005092864],"genre_scores_gemma":[0.9423636,0.003278083,0.04943496,0.000246933,0.00004368306,0.0001478795,0.002301512,0.00004649146,0.002136802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001090371,"threshold_uncertainty_score":0.003647685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006548402755624548,"score_gpt":0.2206857344988974,"score_spread":0.2141373317432729,"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."}}