{
  "abstract": "In the age of generative artificial intelligence (AI), the assumption that writing a paper requires doing science no longer holds true. Before deciding how to respond to the surge of AI-generated papers, the field needs to state what biology research is actually for.",
  "abstract_shown": true,
  "affiliations": [
    "Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, Illinois, United States of America"
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  "article_type": "Perspective",
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  "author_total": 1,
  "authors": [
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      "name": "Ran Blekhman",
      "orcid": "0000-0003-3218-613X"
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  "bibtex": "https://research.draconitic.com/paper/apyencjyb1pmd.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pbio.3004075",
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  "native_subjects": [
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      "/Biology and life sciences/Computational biology"
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  "pdf_url": "https://journals.plos.org/plosbiology/article/file?id=10.1371/journal.pbio.3004075&type=printable",
  "pmcid": "PMC13712671",
  "pmid": "42879499",
  "published": "2026-10-15",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/apyencjyb1pmd.ris",
  "sources": [
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      "first_seen": "2026-10-30T12:17:23Z",
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  "subjects": [
    {
      "field": "biology",
      "origin": "plos:computational biology",
      "subfield": "bioinformatics"
    }
  ],
  "title": "What is biology research for?",
  "title_text": "What is biology research for?",
  "type": "peer-reviewed",
  "updated_at": "2026-10-31T12:23:12Z",
  "url": "https://research.draconitic.com/paper/apyencjyb1pmd",
  "venue": "PLOS Biology",
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}