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 / Grey MJos Predictive Model | First manifestation of the Bangel Language MJ Physics Engineering | Owned and operated by Michael Bangel | Clearwater, Florida PROJECT TERMINOLOGY MJ Decision Layer and recovery: 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. MJos Predictive Model: umbrella project and first manifestation of the Bangel Language in this edition. Bangel Language: typed expression layer. Elsa: compiler. JP: independently admitted representation; preserve its actual versioned protocol. Joanna: runtime and execution evidence. MJ: separate permission and resource authority. UNKNOWN: unavailable or unsupported value, never numerical zero. PROJECT TYPES - Candidate: identity + score + source - Mode: separate from decision status - Health/Review/Minority/Downstream: independently bound - Recovery: operation ID + checkpoint + outcome certainty PROFILE RULE Keep case-sensitive neural r0/r9 distinct from uppercase R-state semantics. Historical MJ-PBMEF build IDs are provenance, not current company branding. Existing evidence profiles retain their source-specific meanings. 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.