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 →
3Distinct papers
1Unique collaborators
3/3Semantic Scholar citation coverage
Publication span: 2025–2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
101277768
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- S. Dzreke (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Org Design: 3 papers
- Human Ai Collab: 2 papers
- Innovation: 2 papers
- Adoption: 1 paper
- Governance: 1 paper
- Productivity: 1 paper
Claim outcomes
- Governance And Regulation: 3 papers
- Market Structure: 2 papers
- Organizational Efficiency: 2 papers
- Other: 2 papers
- Decision Quality: 2 papers
- Firm Productivity: 2 papers
- Ai Safety And Ethics: 1 paper
- Firm Revenue: 1 paper
- Innovation Output: 1 paper
- Skill Acquisition: 1 paper
- Task Completion Time: 1 paper
- Team Performance: 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.
Citation observation summary
Semantic Scholar supplied counts for 3 of 3 papers in this view; 0 are missing. The observed paper counts sum to 11 cumulative citations. This is a coverage summary, not an author score or h-index.