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
2Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2366622847
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Charlotte Brandebusemeyer (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Task Completion Time: 1 paper
- Worker Satisfaction: 1 paper
- Developer Productivity: 1 paper
- Other: 1 paper
- Output Quality: 1 paper
- Research Productivity: 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 |
|---|---|---|---|
| Moderate use of GitHub Copilot speeds up developers and eases their workload, but heavy or mixed use blunts the benefit; chat interactions also improve task completion. In everyday work, developers report both higher cognitive load and greater productivity when interacting with AI.arxiv | Charlotte Brandebusemeyer provider id |
2025-12-22 | 6 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 6 cumulative citations. This is a coverage summary, not an author score or h-index.