Mathodology Review Questions

The legacy skill name is retained for discovery. Review the substance of the work; do not estimate awards from invented numeric thresholds or require a particular handoff format. Scale review to the claims and the deadline.

Mathematical and empirical questions

• Does the solution answer every required question and represent its essential mechanisms?
• Are equations, units, constraints and limiting cases consistent? Is the solution feasible?
• Can the parameters be identified from the available observations?
• Does the described method match the code, including preprocessing and exclusions?
• Is a reported advantage measured against an appropriate baseline on comparable data?
• Are fitting, tuning and evaluation separated where the claim requires it?
• Are outcomes forced by normalization or constraints labeled as such?
• Could plausible changes to important assumptions reverse the recommendation?
• Are confidence intervals, predictive intervals and simulation variability distinguished?
• Can reported numbers be traced to data, code, a derivation or a stated assumption?
• Are evidence gaps, failed runs and material limitations disclosed?