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
7Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5124807194
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Abdullah (openalex, provider refresh)
- Abdullah (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Other: 1 paper
- Decision Quality: 1 paper
- Firm Revenue: 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 hybrid expert-plus-AI system sharply improves project-selection accuracy—97.5% predictive accuracy and an estimated 68% boost in portfolio value (≈$83.5m) in one firm's retrospective test—though the finding rests on a single-enterprise evaluation and needs broader validation.openalex | Abdullah provider id |
2026-02-01 | 3 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 3 cumulative citations. This is a coverage summary, not an author score or h-index.