parameter-screening

name	parameter-screening
description	Quick Morris method screening to identify which parameters have large effects and which can be safely ignored.
dependencies	{"tactics":["screening-then-decomposition"],"sops":["morris-screening"]}

Parameter Screening

Quickly identify important vs unimportant parameters.

Budget

Base SOP	Target	±10% Range
web-search	20	18–22
web-research	5	4–6
paper-overview	30	27–33
paper-search	20	18–22
paper-research	10	9–11

State Ledger

<HARD-GATE>
| SOP | Done | Target | % |
|-----|------|--------|---|
| web-search | ? | 20 | ? |
| web-research | ? | 5 | ? |
| paper-overview | ? | 30 | ? |
| paper-search | ? | 20 | ? |
| paper-research | ? | 10 | ? |
Budget Gate: OPEN/CLOSED (>=80% required to exit)
</HARD-GATE>

Available Tactics

• screening-then-decomposition

Available SOPs

Import: web-search, web-research, paper-overview, paper-search, paper-research Subagent: morris-screening

Execution Guidance

Use Morris method (one-at-a-time with random trajectories) to quickly identify which parameters have large effects (high mu*) and which have nonlinear/interaction effects (high sigma). Eliminate clearly unimportant parameters.

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic	When to use
screening-then-decomposition	Two-phase sensitivity — Morris quick screening to eliminate unimportant factors, then Sobol precise decomposition on survivors. Efficient allocation of analytical effort.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
morris-screening	Morris method screening — compute elementary effects to quickly identify important vs unimportant parameters.