# Kai

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Keigo Takahashi](https://cerebralvalley.ai/u/ktak5)
- **GitHub:** https://github.com/keigotak/specimen-casebook
- **Demo video:** https://youtu.be/LVumKu5Eh-0?si=rhJSeq6jSAdX7Hyc
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/12

Specimen Casebook is auditable data reconciliation for biodiversity collections. Herbarium and museum data managers digitize specimens whose sources disagree — a label, a field ledger, and a legacy database may record three different collection dates. Conventional pipelines flatten these into a single value and discard the reasoning, silently turning uncertainty into fact.

Specimen Casebook uses Claude's structured extraction to read every source field by field, returning a verbatim supporting quote and a source id for each claim. A deterministic policy layer re-checks each quote as an exact substring, drops any that were altered or invented, and refuses to auto-resolve a field when two grounded values disagree — marking it CONFLICTING and routing it to human review. The output is a Darwin Core CSV that carries unresolved disagreements in `informationWithheld` instead of hiding them, plus a full provenance JSON that lets a reviewer reconstruct every decision.

Claude proposes; the policy layer decides what can ship. The primary metric — unsupported resolution rate — holds at 0% across adversarial tests and live runs against claude-opus-4-8. Built for a named herbarium collections data manager, it is working software, not a demo.

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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/12. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt