{
  "title": "Template Madlib: Deterministic Token Injection for Conditional IMRAD Manuscripts",
  "version": "0.1.0",
  "doi": "10.5281/zenodo.20786638",
  "doi_url": "https://doi.org/10.5281/zenodo.20786638",
  "concept_doi": "10.5281/zenodo.20786638",
  "version_doi": "10.5281/zenodo.20786639",
  "zenodo_record": "https://zenodo.org/records/20786639",
  "record_id": "20786639",
  "publication_date": "2026-06-21",
  "resource_type": {
    "title": "Journal article",
    "type": "publication",
    "subtype": "article"
  },
  "license": "MIT",
  "creators": [
    {
      "name": "Friedman, Daniel Ari",
      "affiliation": "Active Inference Institute",
      "orcid": "0000-0001-6232-9096"
    }
  ],
  "description": "This exemplar asks whether a reviewable pipeline can hydrate a complete IMRAD manuscript from configuration-owned lexical data while preserving an audit trail that remains readable before and after rendering. It keeps playful Mad Lib token-injection mechanics inside a serious reproducibility contract, with deterministic conditional assembly of manuscript sections.",
  "keywords": [
    "madlib generation",
    "token injection",
    "conditional manuscripts",
    "reproducible research",
    "IMRAD"
  ],
  "files": [
    {
      "name": "Friedman_2026_Template_a593c1fe.pdf",
      "download_url": "https://zenodo.org/api/records/20786639/files/Friedman_2026_Template_a593c1fe.pdf/content"
    }
  ],
  "related_resources": [
    {
      "relation": "isSupplementedBy",
      "identifier": "https://github.com/docxology/template_madlib",
      "type": "software"
    }
  ],
  "github_repo": "https://github.com/docxology/template_madlib",
  "source": "zenodo-with-github",
  "checked_at": "2026-06-21T00:00:00Z"
}