GAIDeT Crossref Assertion Helper
A helper for editors, publishers and authors: it prepares machine-readable metadata on generative AI use for a DOI deposit in Crossref (Crossref Web Deposit Form). Each GAIDeT task has a persistent identifier in w3id.org/gaidet.
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Fixed assertion name
Copy the constant name
gaidet_ai_contribinto the Name field in the Crossref deposit form. -
Task parameters
Select the micro-task from the table, then copy its standardized Label and persistent URI href.
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Explanation statement
Generate and copy the standardized disclosure text into the Explanation field (with edits if needed).
1. Fixed Assertion Name
For all GAIDeT Crossref Custom Metadata assertions, use the exact constant name below. Leave Group label and Group name empty in the Crossref Web Deposit Form.
2. GAIDeT Task Table (Label • href • Explanation)
Select the delegated task from the taxonomy. Use the instant search box below to filter by task name or GAIDeT ID.
| ID | Task (Label) | Permanent URI (href) | Copy actions |
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3. Explanation Field Preview
Text is generated when you select a task above. You can copy it to the clipboard and tailor it prior to Crossref deposit.
Academic attribution and primary sources
What GAIDeT is, how to cite the original paper, links
Zaporizhzhia Polytechnic National University
The university hosts the GAIDeT tools on its site for its staff, researchers and students. They are built on the open-source code of the taxonomy's authors (MIT licence).
GAIDeT (Generative AI Delegation Taxonomy) is a taxonomy for describing the tasks researchers give to generative AI. Instead of bans or AI-text detectors, it asks authors to declare openly what the AI did. It has two levels: 8 stages of research and the specific tasks within each; control and responsibility stay with the human.
