---
language:
- en
license: mit
pretty_name: Clinical Interventional Justification v0.1
tags:
- evaluation
- clinical
- reasoning
- inference
- transparency
task_categories:
- text-generation
- text-classification
---

Clinical Interventional Justification v0.1

Goal

- Test whether recommendations follow from stated analysis
- Expose non sequitur actions and hidden premises

What it measures

- justification_gap  
  The action lacks an explicit or implicit causal link to the analysis
- hidden_premise  
  The action relies on unstated assumptions or missing severity drivers

Dataset format

- Each row includes observations, analysis, and a recommended action
- Constraints specify what must be justified

Columns

- id  
- observations  
- analysis  
- question  
- model_response  
- reference_constraints  
- labels_expected

Scoring

- Deterministic checks for causal connectors and scope alignment
- Per row score reflects matched flags
- Overall score is mean across rows

Run

- python scorer.py --csv data/sample.csv