GMIIE Public Methodology
High-level specification of the intelligence engine published on xxxiii.io. Trade-secret weightings, scraper selectors, and unpublished ML features are omitted. Current readings match the Oracle Engine editorial snapshot (May 2026).
NIG — Normalized Intelligence Grade
Five ring inputs are combined with published α coefficients (Apr 2026 editorial vintage — LSTM retrain pipeline is roadmap, not deployed), then bounded via hyperbolic tangent:
Ring weights for module-level SSC composite: w = (0.25, 0.15, 0.25, 0.20, 0.15) across R1–R5.
Core formulas (F-01 – F-12)
CFS — Correlation Fracture Score (R5)
ODV — On-Chain Deployment Velocity (R3)
PCS — Prediction Calibration Score (Oracle)
PCS is maintained by post-resolution scoring on Oracle questions; community probabilities are not treated as ground truth until resolve events fire.
Related public metrics
- SFI (R4): interconnect × (1 + CRE/Assets) × liquidity mismatch / capital buffer — banks SFI > 1.6 on watch.
- PCSG (R4): private credit stress — current 0.38 (Elevated).
- GCS (R5): geopolitical contagion with λ = 0.08/day decay — current 0.79.
- CATS (R3): CBDC adoption trajectory — global 218/300.
- LDS (R2): language drift — BoJ +0.71, Fed −0.28.
Full formula cards: Engine → 12 Signal Formulas. Institutional extensions (IMF Taylor, WEF risk graph, labor Markov matrix): Institutions.
R1–R5 ring structure
| Ring | Focus | Score | Status |
|---|---|---|---|
| R1 STRUCT | Yield curve, SCFI, macro architecture | 62 | Watch |
| R2 LANG | Central bank NLP / LDS | 58 | Moderate |
| R3 DEPLOY | ODV, CATS, on-chain institutional flow | 71 | Positive |
| R4 FRAG | SFI, PCSG, CRE wall | 44 | Elevated |
| R5 FRACT | CFS, GCS, regime distance | 55 | Watch · fracture alert |
Scores refresh on a 4-hour module cycle (GMIIE intelligence pipeline + live-desk cron); UI may show static seed until KV warms.
Oracle calibration
Oracle questions publish community-weighted probabilities with documented consequence chains. Calibration target PCS > 0.68; current 0.71 exceeds IMF-reported ML quality gates cited on Institutions. Backtest window: 24 months rolling; resolution events update Accuracy and Sharpness terms in F-12.
Verification
- IPFS: 8-hour snapshots —
/api/ipfs/latest - JSON API:
/api/gmiie/live/engine,/data/gmiie-engine-snapshot.json - Reproducibility: Compare
engine_fingerprintandgenerated_at— see Authenticity
Internal canonical specs: private repo docs/canonical/ (not deployed). Consult IP counsel for trademarks and patents.