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 dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2320798706
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Philipp Hacker (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Innovation: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Firm Revenue: 1 paper
- Fiscal And Macroeconomic: 1 paper
- Adoption Rate: 1 paper
- Consumer Welfare: 1 paper
- Innovation Output: 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 |
|---|---|---|---|
| Generative web-search and reasoning models deployed in 2025 impose substantially higher cumulative environmental costs even as reporting declines; existing rules—focused on facilities and training—miss model-level and inference emissions. The paper recommends mandatory model-level energy disclosures, consumer opt-outs, and coordinated international reforms, with concrete amendments proposed for EU laws to operationalize these changes.semantic_scholar | Philipp Hacker provider id |
Fetched 2026-03-12 | 1 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.