{
  "title": "Registered Report Template: Preregistration, Deviations, and Claim Boundaries",
  "version": "0.1.0",
  "doi": "10.5281/zenodo.21298893",
  "doi_url": "https://doi.org/10.5281/zenodo.21298893",
  "zenodo_record": "https://zenodo.org/records/21298892",
  "record_id": "21298893",
  "publication_date": "2026-07-10",
  "resource_type": {
    "title": "Journal article",
    "type": "publication",
    "subtype": "article"
  },
  "creators": [
    {
      "name": "Daniel Ari Friedman",
      "affiliation": "Active Inference Institute",
      "orcid": "0000-0001-6232-9096"
    }
  ],
  "description": "This document is a template, not an empirical study. It demonstrates the registered-report workflow end to end: locking a preregistration, validating its completeness, executing the registered analysis plan against deterministic demonstration data, and reporting confirmatory and exploratory claims through an explicit deviation ledger. Every quantity reported here is produced by the tested code in src/registered_report/ and regenerated by scripts/generate_figures.py; none is hand-entered or illustrative. The demonstration binds a single confirmatory hypothesis (H1) to one registered outcome (primary_score) analysed by a two-sided label-permutation test. Run on a seeded two-group dataset (seed = 20260709, n = 24 per group), the registered test yields an observed mean difference of 1.003 with a two-sided permutation p-value of 0.0005 (0 of 2000 shuffles at least as extreme), significant at the preregistered alpha = 0.05. A deliberately introduced secondary endpoint and an alternative model are carried only as documented deviations, keeping the confirmatory claim boundary intact. The purpose is to give forks a working, auditable skeleton in which planned analyses, frozen hypotheses, deviations, and post-run claims are separable and machine-checkable.",
  "keywords": [
    "registered report",
    "preregistration",
    "replication",
    "deviation ledger"
  ],
  "files": [
    {
      "name": "Friedman_2026_Registered_61a9addb.pdf",
      "size_bytes": 289933,
      "checksum": "md5:091158dda479781947fabe1b853f5719",
      "download_url": "https://zenodo.org/api/records/21298893/files/Friedman_2026_Registered_61a9addb.pdf/content"
    }
  ],
  "related_resources": [],
  "github_repo": "",
  "source": "zenodo-only",
  "checked_at": "2026-07-10T19:31:16Z"
}