Clinical Note Audit
Live research models

Clinical Note Audit

New input → H200 inference → original measurement pipeline

This page sends the chosen input to the H200 server for a new model run. It is separate from the archived-result explorer. Use fictional or public research inputs; do not enter identifying patient information. Inputs are not written to disk, and returned jobs expire from memory after15 minutes.

Research demonstration. A successful run does not establish clinical reliability. The current API tunnel is session-scoped; a permanent ingress is still required for uninterrupted long-term reviewer access.

Connecting to the H200 service…

Run a fresh input

The model estimates physician risk grade 2–4 versus grade1 using the original prompt. It returns a judgment and exact response text. New inputs have no expert reference grade, so no Brier score or clinical accuracy is reported.

Computational path

Browser input → bounded in-memory queue → fitted model on the H200 host → frozen Python measurement or correction → new response and model identity.

Model weights may stay loaded between calls. Returned inference results are not cached. B/C use the research GPU lock; the keeper yields during their model execution. A uses the host CPU. Failed calls show their failure; archived outputs are not substituted.