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
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2405886130
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Julian Lesmos-Vinasco (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
Claim outcomes
- Regulatory Compliance: 1 paper
- Decision Quality: 1 paper
- Other: 1 paper
- Adoption Rate: 1 paper
- Firm Revenue: 1 paper
- Organizational Efficiency: 1 paper
- Output Quality: 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 |
|---|---|---|---|
| Conformalised uncertainty lets aggregators bid reliably: merging Monte Carlo dropout with conformal prediction produces P90-compliant forecasts of prosumer flexibility and cuts overbidding risk in a Danish reserve-market simulation, securing up to 70% of perfect-information profits compared with overconfident baselines.arxiv | Julian Lesmos-Vinasco provider id |
2026-01-21 | 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.