# Sanitized excerpt conceptually from uncertainty.py

def assess_uncertainty(landmark_confidence, segmentation_confidence):
    confidence = min(landmark_confidence, segmentation_confidence)
    if confidence < 0.55:
        return {"abstain": True, "confidence": confidence, "reasonCodes": ["LANDMARK_UNCERTAIN"]}
    return {"abstain": False, "confidence": confidence, "reasonCodes": []}

# 0.55 is a code threshold for research abstention. It is not a calibrated clinical cutoff.