The organisation records how uncertainty affects the results of its impact assessments, and the methods used and assumptions made in handling uncertainty, and where its data and information came from. It is recommended to understand where uncertainty comes from in scenarios, projections, monitoring data, models and assessments, how it propagates through the analysis, and what it implies for the results, and to apply quality management procedures to the data and scenarios it relies on, keeping the level of analysis proportionate to its needs.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.