yogsoth-ai Screening Then Decomposition
Two-phase approach: quick screening followed by precise decomposition.
Operations
morris-screening → sobol-decomposition → interaction-detection
Available SOPs
Subagent: morris-screening, sobol-decomposition, interaction-detection Import: paper-search
Execution Guidance
Phase 1 (Morris): Screen all parameters, eliminate those with low mu* and low sigma. These are unimportant and can be safely fixed at nominal values.
Phase 2 (Sobol): For surviving parameters, compute precise variance decomposition. First-order indices (Si) measure direct effects, total-order indices (STi) measure direct + all interactions.
Phase 3: Detect significant interaction pairs (STi - Si > threshold). Characterize interaction types and implications.
Minimum Yield
<HARD-GATE>
- Parameters screened: >= 5
- Parameters eliminated (low mu*): >= 1
- Sobol indices computed: >= 3 parameters
- Interaction pairs identified: >= 1
</HARD-GATE>
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| deep-insight-paper-search | AI-powered paper summary and search. Import of literature-engine/literature-search skill. AI summary level — cite as "AI-extracted" not "paper states". |
| interaction-detection | Detect and characterize significant parameter interactions from Sobol decomposition results. |
| morris-screening | Morris method screening — compute elementary effects to quickly identify important vs unimportant parameters. |
| sobol-decomposition | Sobol variance decomposition — compute first-order and total-order sensitivity indices for precise variance attribution. |