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
23Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
1397160953
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Konstantinos Voudouris (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Innovation: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Research Productivity: 1 paper
- Ai Safety And Ethics: 1 paper
- Decision Quality: 1 paper
- Organizational Efficiency: 1 paper
- Output Quality: 1 paper
- Task Allocation: 1 paper
- Training Effectiveness: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 |
|---|---|---|---|
| Frontier AI agents handle the engineering of research but not the research itself: in two shadow evaluations on unpublished NeurIPS submissions, agents completed coding and experiments yet produced work the original authors unambiguously rejected as not meeting the bar for novel, publishable AI research.arxiv | Konstantinos Voudouris provider id |
2026-07-29 | 3 |
Citation observation summary
Semantic Scholar 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.