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
3Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
16086710
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Dimitra Balaska (semantic scholar, 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
- Worker Satisfaction: 1 paper
- Ai Safety And Ethics: 1 paper
- Consumer Welfare: 1 paper
- Decision Quality: 1 paper
- Employment: 1 paper
- Hiring: 1 paper
- Research Productivity: 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.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| AI-driven performance management is making healthcare workplaces more responsive and efficient—speeding feedback, surfacing leaders and saving managerial time—while predictive analytics help manage staffing and burnout; however, benefits are fragile without strong safeguards against bias, privacy breaches and governance failures.openalex | Dimitra Balaska provider id |
2026-05-21 | 0 |
Citation observation summary
Semantic Scholar 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.