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 →
2Distinct papers
6Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2343741268
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Joel Persson (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Productivity: 2 papers
Claim outcomes
- Decision Quality: 1 paper
- Error Rate: 1 paper
- Firm Revenue: 1 paper
- Organizational Efficiency: 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 |
|---|---|---|---|
| How you collect data determines how well you can evaluate AI: concentrating logging on high-reward actions cuts variance but risks missing signals a target policy will take, and this paper derives optimal and practical logging policies to minimize off-policy evaluation error under different knowledge regimes.arxiv | Joel Persson provider id |
2026-05-14 | 1 |
| Summing up individualized ML treatment-effect predictions can misstate group causal effects even with randomized data; a simple statistical test and closed-form shrinkage fix both detect and correct the bias, and applying the correction to platform A/B tests changes targeting choices and firm profits.arxiv | Joel Persson provider id |
2026-02-23 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 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.