IndisputableMonolith.Predictions
The Predictions module assembles Recognition Science forecasts for observables such as particle masses and coupling constants. Working physicists would reference it when testing the theory against measured values. The module coordinates its content via imports of Row, ExperimentalAnchors, Registry, Comparison, and Certificate submodules.
claimThe module exports a registry of RS predictions, each pairing an observable with its value on the phi-ladder (e.g., $m = y_0 · ϕ^{r-8+gap(Z)}$) together with experimental anchors for direct comparison.
background
Recognition Science derives all physics from the single functional equation encoded in the J-cost. The Predictions module sits at the interface between the abstract forcing chain (T5 J-uniqueness through T8 D=3) and concrete numbers. It introduces the registry structure for storing predicted values alongside experimental anchors for direct comparison. Key supporting concepts include the phi-ladder for mass quantization, the Berry creation threshold at ϕ^{-1}, and the RCL identity J(xy) + J(x/y) = 2J(x)J(y) + 2J(x) + 2J(y).
proof idea
This is a definition module with no proofs; it structures the prediction data through its five imported submodules.
why it matters in Recognition Science
The module supplies the prediction layer that allows the Recognition framework to make testable claims, feeding into the main monolith theorems on physical constants. It realizes the mass formula and constant predictions from the T0-T8 chain, enabling comparison with the alpha^{-1} band (137.030, 137.039).
scope and limits
- Does not derive new theorems from the forcing chain.
- Does not contain raw experimental datasets.
- Does not perform numerical simulations or fits.
- Does not define the underlying J-cost or phi-ladder objects.