Stage W0: private living prototype12 of 30 manuscripts drafted, 0 reviewed; 50 lexicon entries in draftWhat each later stage would need to show

Lexicon · Tools and roadmap

Lexicon entryDraftNX-C050

Human review

Fully specified name: Human review (concept)

A recorded evaluation by an accountable person before a proposal is accepted or published.

Scope note
The NucLex principle is that AI proposes and humans approve.
Synonyms
None recorded as true synonyms in this context.
Monograph
Human review of machine proposals (planned; brief only)
External mappings
None recorded. In W0 no mapping to SNOMED CT® or any external authority is asserted for this entry. A future mapping record will carry source system, identifier, version, relation type, evidence, author, confidence where meaningful, and review state.
Formal status
Editorial entry only. It is not part of any released ontology and a prose edit here changes no formal definition.

Draft. This entry is an unreviewed draft. Its sources have not been checked by a named person and no domain reviewer has approved it. Treat every claim as provisional.

Notes

Human review is the step at which a named, accountable person examines a proposal and decides whether it is accepted, revised, or rejected, and records that decision with a reason. The proposal may be a manuscript, a concept, a synonym, a terminology mapping, an interaction record, a parameter value, or a citation. The proposer may be a colleague, a script, or a language model. What makes the step a review is the record: who looked, at what, when, and what they decided.

The term has established meanings elsewhere. In publishing, peer review evaluates a manuscript against disciplinary standards. In terminology maintenance, editorial review decides whether a proposed change enters a release. In software and regulated industries, "human in the loop" names a point where a person can intervene before an automated action takes effect. NucLex draws on all three but asks for the lightest workable record.

The project's working principle: artificial intelligence may propose text, terms, mappings, evidence packets, and outlines, and humans decide what is accepted. A machine-generated citation or reasoning chain is checked against its source before it is trusted. A rejected proposal may remain in the editorial record but is never displayed as accepted fact. An empty reviewer field means no review has happened; it is never filled because someone requested the work. The monograph examines why the principle is harder to keep than to state.