What this dashboard shows. Every scenario runs the Ananke simulation kernel and compares outcomes against
real-world empirical data — published medical literature, historical casualty rates, material-science constants. A scenario
PASSes when the simulated value lands within the tolerance band; it
FAILs otherwise.
CALIBRATION scenarios
End-to-end functional checks against well-known empirical baselines — e.g. "untreated wound fever kills within 3–7 days", "plate armour reduces strike damage by 60–80%". These validate that the combined simulation pipeline behaves realistically.
DIRECT scenarios
Low-level constant checks — surface/internal/structural damage constants, bleeding rate scaling, impact energy distribution, thermoregulation stability. These validate individual physical constants against SI-unit references, catching regressions in the fixed-point arithmetic before they propagate to calibration scenarios.
Reading the bar chart: the coloured bar shows the simulated value; the darker shaded region is the ±tolerance empirical band. A bar ending inside the band = PASS. Filter the table with the buttons below to focus on failing or specific types.
Regenerate locally: npm run build && npm run run:validation-dashboard