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
4Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5111073392
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Maxime Mathon (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Innovation: 1 paper
Claim outcomes
- Regulatory Compliance: 1 paper
- Research Productivity: 1 paper
- Ai Safety And Ethics: 1 paper
- Governance And Regulation: 1 paper
- Firm Revenue: 1 paper
- Market Structure: 1 paper
- Organizational Efficiency: 1 paper
- Skill Acquisition: 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 |
|---|---|---|---|
| Corporate sustainability reports focus on company risk and miss cumulative environmental pressures; a prioritized set of mandatory disclosures and an open, audited environmental-data repository would strengthen oversight and unlock AI-enabled risk models. Treating environmental data with financial-grade standards would improve comparability, reduce greenwashing, and let investors and regulators better price systemic environmental risks.openalex | Maxime Mathon provider id |
2026-03-14 | 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.