GEFI profile
Overall score, Risk Class and pillar scores P1–P6, plus attribution, governance, validation, reconstruction and partner signals.
ERS is the simulation surface of the Evidence Stack. It consumes GEFI integrity scores and models how governance, attribution, partner and reconstruction stress propagate to collapse — producing collapse probability, failure paths and recommended corrections for Hub, NAE and FieldTrace. ERS never recomputes GEFI; it consumes it.
ERS models the fragility of an evidence profile by perturbing its risk factors under named scenarios, then recomputing collapse probability and the most likely path to failure. It is the source of truth for collapse probability in the Evidence Stack.
Overall score, Risk Class and pillar scores P1–P6, plus attribution, governance, validation, reconstruction and partner signals.
Governance failure, attribution gaps, partner turnover, method drift, missing lineage and reconstruction loss.
Collapse probability, time to collapse, failure paths, reconstruction reliability and partner fragility, with a plain-language narrative.
Reviewer routing failure and decision-environment drift. Δgov +0.25.
Chain depth and completeness erode. Δattr +0.30.
Partner fragility cascading into governance. Δpartner +0.30.
Lineage and versioning gaps block rebuild. Δrecon +0.30.
Joint stress across every surface at once.
Choose a scenario and run it against a sample evidence profile. Everything below is computed in your browser on illustrative data — a demonstration, not a live reviewer console.
Score, class and pillar signals retrieved from GEFI. ERS never recomputes them.
Recommended reviewer routing, escalation and decision-environment changes.
Completeness thresholds and coverage alerts pushed back to capture and attribution.