Novelty is highly subjective and often includes domain specific nuance. As such, it is unlikely that any single, generalizable novelty estimator will be fully satisfying. That said, the novelty estimation method presented here provides a baseline for further investigations. The results of the control dataset analysis follow intuition based on underlying distance metrics and can be explained by materials intuition, demonstrating the method's utility in the materials space.