Keywords
materials
systems
evidence synthesis
reliability
provenance
Abstract
This critical review examines uncertainty-aware decision support in thermowettability in graphene channels, with links to intelligent manufacturing and evidence governance. The organizing question is which uncertainty signals materially alter selection, qualification, or release decisions. Ten or more scholarly and user-supplied records are synthesized through a mechanism-to-decision framework spanning system boundaries, measurement, representation, evaluation, translation, and governance. No experiment, participant dataset, effect estimate, or production result is invented. Particular attention is given to uncertainty being reported but disconnected from operational thresholds. The review argues that credible translation requires source-level traceability, explicit validity domains, failure-aware evaluation, and revalidation triggers. Google Scholar-supplied records are retained in structured APA form, and no missing DOI or pagination field is completed by conjecture.
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