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
15Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5086519517
ORCID evidence
Observed aliases (4)
- Kasra Rafiezadeh Shahi (openalex, provider refresh)
- Kasra Rafiezadeh Shahi (openalex, source metadata)
- Shahi, Kasra Rafiezadeh (openalex, provider refresh)
- Shahi, Kasra Rafiezadeh (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Output Quality: 1 paper
- Research Productivity: 1 paper
- Other: 1 paper
- Task Allocation: 1 paper
- Task Completion Time: 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 |
|---|---|---|---|
| A Gemini-based AI substantially speeds complex scientific synthesis: 13 climate scientists produced a 79-paper synthesis in roughly 46 person-hours with most AI-generated content retained; yet expert oversight remained essential, and humans supplied much of the final rigor and content.openalex | Shahi, Kasra Rafiezadeh provider id |
2026-02-10 | 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.