AAV packaging rate auto-research evaluation
Agents build predictors of AAV capsid packaging that must generalize to an unseen insertion region, using a limited scorer. Scored by Spearman correlation.
Built with Dyno Therapeutics for the CB-2 threshold. Anthropic also reports the share of attempts above 0.52.
- Released
- September 2026
- Kind
- Hazardous knowledge
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
- Last in a system card
- October 2026
- Last model added
- October 2026
3
System cards report it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for AAV packaging rate auto-research evaluation yet.
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
3 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Oct 7, 2026 | Claude Haiku 5.5 system card | AAV packaging rate auto-research evaluation, Spearman correlation over scorer calls, chart without printed values (Figure 2.2.3.3.A) | Bio and chem risk | |
| Sep 28, 2026 | Claude Sonnet 5.5 system card | AAV packaging rate auto-research, Spearman correlation by scorer calls, chart without printed values (2.2.3.3, Figure 2.2.3.3.A) | Bio and chem risk | |
| Sep 22, 2026 | Claude Opus 5.5 system card | AAV packaging rate auto-research, Spearman correlation by scorer calls, chart without printed values. Text: reaches 0.50 in fewer than 10 scorer calls, about 60% of attempts exceed the 0.52 threshold (2.2.3.2.3, Figure 2.2.3.2.3.A) | Bio and chem risk |
More in Biology and chemistry
- GeneBench Pro In use Agents analyze messy simulated genomics and biology datasets to estimate a decision-relevant quantity across 129 problems. Scored automatically against known answers. GPT-5.6 Sol 31.5%
- SUPERChem In use Models solve 500 expert-written chemistry reasoning problems, offered in multimodal and text-only forms. Expert solution paths also allow a reasoning path score.
Tencent Hy4 preview 66.4% - LifeSciBench In use Models complete 750 expert-written life science research tasks, often with attached figures, tables, or sequence files. Graded against expert rubrics as score and pass rate. GPT-Rosalind-6 61.3%
- MedChemBench (OpenAI) In use Models answer chemistry questions from an OpenAI internal set, grouped with OpenAI's life science research evaluations. OpenAI has not published the task format. GPT-Rosalind-6 49.6%
- ProtocolQA Open-Ended In use Models correct errors in published lab protocols using open-ended questions adapted from LAB-Bench ProtocolQA. Scored as pass@1. GPT-6 Cyber 47.2%
- MolecularIQ In use Models answer questions about molecular graphs, such as counting, indexing and constrained generation, and a symbolic checker verifies each answer. gpt-oss-120b 47.5%