---
language:
- en
license: mit
pretty_name: Clinical Hormonal Feedback Instability
task_categories:
- tabular-classification
tags:
- clarusc64
- clarusc64-benchmark
- stability-reasoning
- clinical
- endocrine
- hormonal-feedback
- metabolic-regulation
- trajectory-analysis
- tabular
size_categories:
- n<1K
---

# clinical-hormonal-feedback-instability-v0.1

## What this dataset does

This dataset evaluates whether models can detect instability in endocrine feedback regulation.

Each row represents a simplified hormonal regulation scenario observed across three time points.

The task is to determine whether endocrine regulation remains stable or is moving toward hormonal feedback instability.

## Core stability idea

Hormonal regulation depends on feedback between hormone production, receptor sensitivity, and metabolic response.

Signals that interact include:

- hormone level trajectory
- receptor sensitivity proxy trajectory
- metabolic response proxy trajectory
- glucose trajectory
- systemic stress signals
- intervention delay

Instability emerges when hormonal signaling rises while receptor response and metabolic control become misaligned.

## Prediction target

label = 1 → endocrine feedback instability  
label = 0 → stable hormonal regulation

## Row structure

Each row includes:

- hormone level trajectory
- receptor sensitivity proxy trajectory
- metabolic response proxy trajectory
- glucose trajectory
- stress signal proxy
- intervention delay

Decoy variables:

- lab_noise
- chart_noise

## Evaluation

Predictions must follow:

scenario_id,prediction

Example:

HF101,0  
HF102,1  

Run:

python scorer.py --predictions predictions.csv --truth data/test.csv --output metrics.json

Metrics produced:

accuracy  
precision  
recall  
f1  
confusion matrix  
dataset integrity diagnostics

## Structural Note

This dataset reflects latent stability geometry through observable proxies.

The generator and latent rule structure are not included.

This dataset is part of the Clarus Stability Reasoning Benchmark.

## License

MIT