Extract utility usage from receipts for carbon accounting
ASUENE compared Gemini and GPT-4o models on 200 sample utility receipts, extracting transaction months, consumption and costs. Its tests found Gemini more than four seconds faster on average. The article includes sample documents, outputs and benchmark charts; deployment of the tested models is not established.
Draft: this entry has not yet been human-reviewed. Its summary and extracted facts are AI-assisted. Check the original source before relying on the claims.
For whom
Carbon-accounting and document-processing teams at startups or larger firms; OCR evaluation skills.
Not for
The benchmark is unsuitable as proof of accuracy on unrelated document collections.
Brain Score
- Impact
- 2/2
- Evidence
- 2/2
- Reproducibility
- 1/2
- Maturity
- 0/2
- Reach
- 1/2
Five values from 0 to 2. The total has a minimum of 1. A reading aid based on the source, not an independently measured performance result. How the score works
Original source
- Type
- Blog
- Published
- Data as of
- 2026-10-31
The data date records when this dataset was included in the collection. It is separate from the publication date of the source.