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 dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5125208517
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Sergey V. Savin (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Adoption Rate: 1 paper
- Task Allocation: 1 paper
- Firm Productivity: 1 paper
- Output Quality: 1 paper
- Research Productivity: 1 paper
- Worker Satisfaction: 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 seven-stage operational algorithm helps SMEs deploy AI responsibly: a pilot shows a gradient-boosting forecasting model — embedded with explainability and human-in-the-loop controls and supported by MLOps — outperforms the baseline and raises managerial trust, though findings come from a single firm and require broader validation.semantic_scholar | Sergey V. Savin provider id |
Fetched 2026-03-12 | 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.