MJos Predictive Model | First manifestation of the Bangel Language
New project sequence ยท proposed bindings
Current source package exposes arbitration, modes, noise filtering, loop protection, integrated pipeline and RecoveryStore. Pure Bangel decision source plus bounded Python host supervision. L1 observation, L2 association, L3 recall, L4 forecasting, L5 arbitration is explicitly a proposed logical organization.
MJ Decision Layer and recovery / Yellow
MJos Predictive Model | First manifestation of the Bangel Language
MJ Physics Engineering | Owned and operated by Michael Bangel | Clearwater, Florida
INFORMATION FLOW BLUEPRINT
MJ Decision Layer and recovery
Declared source + context
-> input shape / unit / evidence review
-> Apply gate precedence, bounded rankings and progress-aware recovery with durable operation identities.
-> result + explicit status + source reference
-> independent authority review when an external effect is requested
MEASUREMENT LABELS
- Candidate: identity + score + source
- Mode: separate from decision status
- Health/Review/Minority/Downstream: independently bound
- Recovery: operation ID + checkpoint + outcome certainty
DIAGRAM RULE
This is a new logical flow, not physical geometry, an approved circuit or a calibrated scale. Existing Yellow picture templates are reference geometry and may conflict with their titles. YP-093 is a known example requiring review. No geometry-to-language equivalence is inferred from a picture alone.
EVIDENCE LIMITS
- SELECTED identifies an advisory candidate; no financial or physical permission.
- Missing independent gates HOLD.
- Recovery does not retry uncertain external effects and cannot convert predicted data into observed evidence.