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
1/1OpenAlex citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5091540162
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Saurin, Sébastien (openalex, provider refresh)
- Saurin, Sébastien (openalex, source metadata)
- Sébastien Saurin (openalex, provider refresh)
- Sébastien Saurin (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Org Design: 1 paper
Claim outcomes
- Decision Quality: 1 paper
- Adoption Rate: 1 paper
- Task Completion Time: 1 paper
- Governance And Regulation: 1 paper
- Organizational Efficiency: 1 paper
- Output Quality: 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 |
|---|---|---|---|
| Model-switch timing is governed by learning speed: when model improvement follows a power law the optimal evaluation time scales as T^{1/(1+α)}, so learning-curve shape — not immediate cost — primarily determines when to stop experimenting. A sequential testing rule that anticipates local trends achieves near-oracle performance in theory and in a real-world credit-scoring deployment, avoiding premature discard or mistimed one-shot tests.openalex | Saurin, Sébastien provider id |
2025-12-20 | 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.