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
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2450231524
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Jennifer Zou (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Ai Safety And Ethics: 1 paper
- Consumer Welfare: 1 paper
- Task Allocation: 1 paper
- Skill Acquisition: 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-assistant use is concentrated but specialized: ChatGPT and Gemini dominate overall, yet smaller platforms win task niches—Claude handles a third of coding despite 7% market share. Trust follows usage, not brand, and users will pay roughly $11.20/month to keep humans out of their chats, with higher payments for sensitive tasks.arxiv | Jennifer Zou provider id |
2026-07-16 | 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.