Keywords
environment
materials
Abstract
This review examines curriculum reasoning for environmental mixtures and material graphs through an evidence-centered design lens. The analysis asks how domain shift and mixture uncertainty should be represented. It treats the relevant unit as a complete pathway from data or physical observations to representation, model output, human interpretation, and accountable action. The cited literature is synthesized without inventing experiments or unreported performance values. Particular attention is given to aggregate performance hiding exposure or chemistry-specific errors. The review argues that credible translation requires explicit evidence boundaries, uncertainty-aware evaluation, author-visible traceability, and a documented route for intervention. The resulting framework supports environmental and materials analytics while distinguishing component promise from system readiness.
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