The paper states the error margin as:
(0.1 + 0.01·log(|Answer|)), with a fixed 0.1 if the computed margin exceeds 0–1.
In the example:
True Answer = –5.2 (implied by “Model Answer −5.2 is between −4.479 and −5.655”).
Compute: |Answer| = 5.2 → log(5.2) ≈ 0.716 → margin = 0.1 + 0.01×0.716 = 0.10716.
Acceptable range = [–5.307, –5.093] (not [–5.655, –4.479]).
The shown interval [–5.655, –4.479] is ~6 times wider (width 1.176 vs. 0.214). This error is not a typo – it fundamentally misrepresents their own scoring rule.