diff --git a/dsp/framed_model.cpp b/dsp/framed_model.cpp
index 651dc41..397651a 100644
--- a/dsp/framed_model.cpp
+++ b/dsp/framed_model.cpp
@@ -22,17 +22,6 @@ constexpr float SENS_SCALE = 2.054f;
 // With gamma=1: val = clamp(x, A, B)  [linear interpolation between A and B].
 // The x input is the mask-dependent dB-scaled value (mask * 8.6859 from 0x24c43e0).
 
-constexpr double CAP_A_LEVEL   = -24.0;
-constexpr double CAP_B_LEVEL   =  28.0;
-constexpr double CAP_GAMMA     =   1.0;
-
-constexpr double CAP_A_FREQ    =  16.0;
-constexpr double CAP_B_FREQ    = 20000.0;
-constexpr double CAP_GAMMA_FREQ =  1.0;
-
-// ---- Empirical bridge fit (NOTES_LEVEL:147, phase-5 step 5b). ----
-// C(f_k) = G·LUT(log10(am_k/res_k)) + W·warp(f_k)^A ;  gain = (1−C)·res^rp(Q).
-// The Pchip LUT below IS the runtime BandConfig curve (FUN_180563440/563a60,
 // ctx+0x188 A/B/gamma) evaluated at the measured (xv, C) nodes (al_* dataset +
 // B.11 anchors). Marked EMPIRICAL (all numbers from the joint dual+al_* fit,
 // honest trimmed metric); the structural parametric A/B/gamma form is its
@@ -150,7 +139,7 @@ void FramedDetector::processFrame(const std::complex<double>* spectrum, float* m
             double res_k = std::max(static_cast<double>(res_[b][k]), 1e-12);
             double lvl = static_cast<double>(am_[k]) / res_k;
             double xv = std::log10(std::max(lvl, 1e-9));
-            double C = G_FIT * lut_pchip(xv) + W_FIT * std::pow(warp_c(fk), A_FIT);
+            double C = G_FIT * lut_parametric(xv, CAP_A_LEVEL, CAP_B_LEVEL, CAP_GAMMA) + W_FIT * std::pow(warp_c(fk), A_FIT);
             double g = std::max(1.0 - C, 1e-9) * std::pow(res_k, rp);
             mask[k] = std::min(static_cast<float>(g), mask[k]);
             fk += fstep;