{
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  "affiliations": [
    "Department of Obstetrics and Gynecology, Faculty of Health and Sport Science, Széchenyi István University, Egyetem tér 1, 9026 Győr, Hungary; (V.G.-O.); (D.S.); (C.D.); (P.T.M.)",
    "S.O.S. 24 Kft., Kormányos utca 5, 6725 Szeged, Hungary;",
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  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13707508/pdf/?tool=EBI",
  "pmcid": "PMC13707508",
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  "published": "2026-09-23",
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  "subjects": [],
  "title": "Validation, Calibration and Transparency, More than Accuracy: An Appraisal of Artificial Intelligence Against Antimicrobial Resistance and a Sustainable, Testable Diagnostic Architecture",
  "title_text": "Validation, Calibration and Transparency, More than Accuracy: An Appraisal of Artificial Intelligence Against Antimicrobial Resistance and a Sustainable, Testable Diagnostic Architecture",
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  "url": "https://research.draconitic.com/paper/83zn5nbpp31c8",
  "venue": "Microorganisms",
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