{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001673503,0.0002894594,0.0003890153,0.0002247888,0.0006690823,0.0001216551,0.0001531071,0.0002664631,0.00006493126],"category_scores_gemma":[0.00009203464,0.0002745649,0.0001401654,0.0001952101,0.0004498263,0.0001453585,0.0002385004,0.0004561586,0.0001615652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000371277,"about_ca_system_score_gemma":0.00005920579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005364697,"about_ca_topic_score_gemma":0.0002799703,"domain_scores_codex":[0.9986206,0.0001460078,0.0003685584,0.0004084708,0.00002868134,0.0004277064],"domain_scores_gemma":[0.999388,0.0001232964,0.0001388157,0.0002418929,0.00008012071,0.00002781767],"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":[0.00009891394,0.0002638251,0.009875144,0.00009901,0.0002715478,0.000009429787,0.0001812975,0.00004988677,0.9780873,0.001154759,0.006097179,0.003811685],"study_design_scores_gemma":[0.00217749,0.0001966268,0.04693507,0.0003864241,0.0002152652,0.00005622389,0.0005120884,0.0001432683,0.8747561,0.00008323025,0.07389984,0.0006383734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944511,0.0005592287,0.0003918749,0.0004370122,0.001146005,0.0002365073,0.0001205523,0.0001600745,0.002497616],"genre_scores_gemma":[0.9820036,0.001188161,0.0003055389,0.0003922279,0.00003976819,4.630255e-7,0.0002855111,0.00002580709,0.01575898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1033312,"threshold_uncertainty_score":0.9999707,"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."}}