---
license: mit
library_name: custom
pipeline_tag: text-classification
tags:
  - clinical-trials
  - nli
  - verifier
  - calibration
  - healthcare
---

# CureLink NLI Verifier 260623

This repository contains the lightweight JSON verifier artifact used to calibrate
`CureLink/curelink-biomed-nli-v2` outputs inside the CureLink backend.

It is not a standalone Transformer checkpoint. It is a small logistic-regression-style
artifact consumed by the CureLink Node.js runtime in
`backend/nliVerifier.js`.

## Files

- `nli-verifier-260623.json`: verifier weights and feature definitions
- `nli-verifier-260623.summary.json`: offline training summary

## What It Does

The CureLink runtime first gets a raw NLI label from the base model, then uses this
verifier to adjust likely disagreements before hard guardrails run.

Typical inputs include:

- raw entailment / neutral / contradiction scores
- criterion section
- negation and admin/consent flags
- explicit-evidence features from patient answers
- criterion-family indicators

Typical outputs are:

- `MET`
- `UNCERTAIN`
- `NOT_MET`

## Training Snapshot

- training rows: `5812`
- eval rows: `1453`
- eval accuracy: `0.9780`
- eval macro F1: `0.9737`

## Runtime Use

The live backend points `NLI_VERIFIER_MODEL_PATH` at the JSON file and enables it with:

```bash
NLI_VERIFIER_ENABLED=1
NLI_VERIFIER_MODEL_PATH=/app/cure-link-site/backend/models/nli-verifier-260623.json
```

## Notes

- This verifier is intended to improve production trial-matching decisions.
- It should be evaluated together with backend guardrails, not in isolation as a general-purpose public benchmark model.