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Evaluation dossier

BioMysteryBench

Can agents solve research-oriented data-analysis problems?

Sources and provenance ↓ Read the research narrative →

Task and measurement

Benchmark protocol profile

Task / subject
The model or agent in the stated task configuration.
Measurement target
Assesses scientific analysis over anonymized datasets; versions, human reference subsets and attempt budgets are kept explicit.
Interpretation boundary
Aggregate scientific performance does not establish an operational biological misuse pathway.

SaferAI evaluates the public API without developer cooperation, combining its own benchmark runs with explicitly identified external comparison results. The report separates task capability, adversarially elicited behavior and willingness to attempt persuasion; configurations and provenance vary by benchmark.

Measurement dossier · NUWA reading

Source-method reading and retained catalogue information are distinguished. Publication does not establish independent evidence or bilingual editorial review.

Measurement construct
Can bioinformatics agents solve verifiable research questions that differ from exam-style biology?
Task population
Tasks have checkable answers but allow varied solution routes; up to five experts attempt each question, and model accuracy averages five trials per problem.
Scoring and failure modes
Accuracy averaged over five trials per problem; human-solvable and human-difficult subsets separate.
System conditions
Up to five experts per task; 76 human-solvable and 23 retained human-difficult tasks.
Statistical meaning
Source-reported result statements; this does not establish trial counts, denominators or an estimator: 76 tasks were solved by at least one human. After removing four flawed questions, 23 remained human-difficult; Mythos Preview solved about 30% of that subset.
Validity and interpretation
Small selected subsets, expert recruitment and removed flawed questions constrain claims of human superiority; no wet-lab uplift is measured.
Appropriate research use
Model recommendation: retain human-solvable/difficult definitions and five-trial averaging; omit operational biological task details.
  • BioMysteryBench · Benchmarking models on verifiable biological tasks with BioMysteryBenchSelected original resource https://www.anthropic.com/research/Evaluating-Claude-For-Bioinformatics-With-BioMysteryBench; sha256:669c8f9a60c28899106a0784a0aea320de59a48eed1369395bedd3ec6fa71cc3; archived source capture; exact capture time not independently established
  • BioMysteryBench · Human baselining: Human-solvableSelected original resource https://www.anthropic.com/research/Evaluating-Claude-For-Bioinformatics-With-BioMysteryBench; sha256:669c8f9a60c28899106a0784a0aea320de59a48eed1369395bedd3ec6fa71cc3; archived source capture; exact capture time not independently established
  • BioMysteryBench · Human baselining: Human-difficultSelected original resource https://www.anthropic.com/research/Evaluating-Claude-For-Bioinformatics-With-BioMysteryBench; sha256:669c8f9a60c28899106a0784a0aea320de59a48eed1369395bedd3ec6fa71cc3; archived source capture; exact capture time not independently established
Original source charts and materials

Read the original protocol ↗

Protocol scope is catalogued. Exact numerical extraction and an appropriate source figure remain to be reviewed.

Related research questions

References

  1. [1] BioMysteryBench
  2. [2] GLM-5.2 Risk Evaluation Report. 2026-08-02. v1.1 · revised 26 August 2026 ; Report masthead and stated evaluation methodology