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
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5140004855
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Awolowo Adenike (openalex, provider refresh)
- Awolowo Adenike (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Innovation: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Error Rate: 1 paper
- Governance And Regulation: 1 paper
- Innovation Output: 1 paper
- Organizational Efficiency: 1 paper
- Research Productivity: 1 paper
- Task Completion Time: 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 |
|---|---|---|---|
| Nigeria's CBN regulatory sandbox correlates with a 42% fall in fraud losses, an increase in detection accuracy to 92.3% and a 77.7% reduction in detection time. The gains appear linked to sandbox participation and operational agility, but lack of random assignment means causality remains uncertain.openalex | Awolowo Adenike provider id |
2025-12-23 | 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.