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Machine learning has emerged as a cost-effective innovation to support systematic literature reviews in human health risk assessments and other contexts. Supervised machine learning approaches rely on a training dataset, a relatively small set of documents with human-annotated labels indicating their topic, to build models that automatically classify a larger set of unclassified documents. “Active”...