AAV Capsid Packaging PredictionBrowse 284 families
AAV Capsid Packaging Prediction
Can the model reason accurately about difficult scientific material?
- Domain
- Science
- Ranked models
- 2
- Reported values
- 2
- Reports
- 1 · lab
- Direction
- Higher is better
- Status
- Latest stable
Rankings
Best reported score per model across effort settings
| # | Model | Best setting | Score |
|---|---|---|---|
| 1 | GPT-5.6 SolOpenAI | reportedcost n/a1 value · Sep 3 · source | 0.529 |
| 2 | GPT-6 AstraOpenAI | reportedcost n/a1 value · Sep 3 · source | 0.528 |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
Definition and comparison boundaryinternal methodology
Can the model reason accurately about difficult scientific material?
Scientific knowledge and reasoning under the benchmark's published question set. Higher is better. Spearman rank correlation reported by OpenAI.
This is a publisher-defined internal evaluation. The task set or grading details are not fully public, so treat it as directional evidence.
OpenAI reports Spearman correlation on 1,100 held-out AAV sequences after providing 5,000 labeled sequences and ESM embeddings; GPT-6 Astra is 0.528 and GPT-5.6 Sol is 0.529. The source's simple ESM-2 baseline is 0.288 and its indicative threshold is 0.600.
Method / source ↗