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Evaluation dossier

BioTIER

Evaluates refusal of high-risk requests alongside preservation of benign biological assistance.

Sources and provenance ↓ Read the research narrative →

Task and measurement

Benchmark protocol profile

Task / subject
Models responding to tiered biological-risk prompts
Measurement target
Response and refusal behavior across expert-curated prompt sets.
Interpretation boundary
Refusal is a safeguard outcome; it does not directly measure underlying biological knowledge or task ability.
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 biological safeguards distinguish narrowly high-risk requests from benign scientific access?
Task population
542 expert-curated prompts span three risk sets; 52 models from ten developers are assessed with binary substantive-response/refusal labels.
Scoring and failure modes
Binary substantive-answer/refusal compliance, with restricted-refuse and benign-permit tasks separated.
System conditions
542 prompts, 52 models; highest publicly available reasoning configurations.
Statistical meaning
Source-reported result statements; this does not establish trial counts, denominators or an estimator: Binary compliance does not score answer correctness, completeness or real-world uplift (§3.3).
Validity and interpretation
Taxonomy thresholds involve expert judgment and need periodic updating; benchmark-aware training remains possible (§5.4).
Appropriate research use
Model recommendation: report under-refusal and over-refusal separately and avoid interpreting compliance as an operational-harm score.
Original source charts and materials
BioTIER — Figure 6
Figure 6 · Original figure 6. Read alongside the protocol scope and limitations below. View original image ↗

Related research questions

References

  1. [1] Eleanor M. Marshall, Pedro Medeiros, et al.. BioTIER: A Refusal Benchmark for Targeted Biological Risk Mitigation. 2026-07-16. v1 [arXiv]; Author affiliations on the original paper title page; Figure 6