The software generally used for biofuel CI calculations (e.g., GREET, openLCA) are robust LCA tools that are capable of incorporating field-specific factors and accounting for some sources of uncertainty. In general, policy provisions and LCA tools already allow for producerspecific inputs when modeling biorefinery operations (e.g., amounts of ancillary chemicals including enzymes, acids, caustic; region-specific electricity fuel sources). Given the capabilities of these LCA tools, this scope of consideration could easily be expanded to field-specific inputs (e.g., fertilizers, fuel) and biogeochemistry (e.g., SOC dynamics, given appropriate measurements and monitoring take place). The models themselves are also able to account for uncertainty (in the amounts and CIs of chemical inputs, etc.), but none of the low carbon fuel policies seem immediately capable to do so. Program administrators should consider the benefits of accounting for uncertainty in CI calculations compared to assigning false precision to carbon outcomes via single-value CI estimates.