Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5081866324
ORCID evidence
Observed aliases (3)
- Quan T. Nguyen (openalex, provider refresh)
- Quan T. Nguyen (openalex, source metadata)
- The-Quan Nguyen (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Other: 1 paper
- Regulatory Compliance: 1 paper
- Ai Safety And Ethics: 1 paper
- Developer Productivity: 1 paper
- Error Rate: 1 paper
- Governance And Regulation: 1 paper
- Organizational Efficiency: 1 paper
- Output Quality: 1 paper
- Task Allocation: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| A deterministic GPT assistant cuts the drudgery from regulatory cost verification by reliably checking codes, units and prices across messy spreadsheets. Tested on 20 real estimates (16,100 rows) and controlled error cases, it preserves full auditability while remaining limited to single-province price rules and strict exact-match logic.openalex | Quan T. Nguyen orcid |
2026-01-26 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.