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
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5090765536
ORCID evidence
Observed aliases (4)
- Andreas Bauer (openalex, provider refresh)
- Andreas Bauer (openalex, source metadata)
- Bauer, Andreas (openalex, provider refresh)
- Bauer, Andreas (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Market Structure: 1 paper
- Wages: 1 paper
- Ai Safety And Ethics: 1 paper
- Governance And Regulation: 1 paper
- Task Allocation: 1 paper
- Worker Satisfaction: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex 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 |
|---|---|---|---|
| Generative AI has erased the scarcity of polished expert deliverables, collapsing competence signals and driving price pooling and exit among high-quality providers; outcome-contingent liability—verifiable warranties with sufficient damages—can re-establish differentiation, but only above a minimum ticket size and subject to insurance and enforcement constraints.openalex | Bauer, Andreas provider id |
2026-07-28 | 0 |
Citation observation summary
OpenAlex 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.