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+ # Savant_v7 Stability Engine (RRF Φ5.2)
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+
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+ ## Overview
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+ The **Savant_v7 Stability Engine** is a machine-learning-based classification and prediction system designed to evaluate the topological stability of galactic rotation curves within the **Resonance of Reality Framework (Φ5.2)**.
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+
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+ It utilizes a 15-dimensional physical feature schema to predict the 'Goodness of Fit' ($p_{good}$) of a 3-parameter logarithmic RRF potential:
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+ $$v^2(r) = GM/r + lpha \log(1 + r/r_0)$$
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+
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+ ## Technical Specifications
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+ - **Architecture:** Ensemble including Gradient Boosting Machine (GBM), Logistic Regression (L2), and SVM.
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+ - **Input Schema:** 15D Feature Vector (Physical descriptors including alpha coupling, core radius, and baryonic fractions).
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+ - **Primary Metric:** $p_{good}$ (Probability of a stable, non-chaotic topological state).
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+ - **Theoretical Alignment:** 81.63% compliance with icosahedral unit-lattice theory.
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+
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+ ## 15D Feature Schema
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+ | Index | Feature | Description |
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+ | :--- | :--- | :--- |
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+ | 0 | log_alpha | Logarithmic RRF coupling strength |
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+ | 1 | log_r0 | Core radius scaling parameter |
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+ | 2 | log_M | Total galactic mass (solar units) |
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+ | 3 | v_inf_norm | Normalized asymptotic velocity |
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+ | 4 | chi2r_clip | Reduced Chi-Squared (Fit quality) |
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+ | 9 | v_rms_residual | Root Mean Square error of kinematic fit |
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+ | 11 | log_distance | Distance to galaxy (Primary stability driver) |
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+ | 14 | keplerian_frac | Baryonic vs. RRF potential ratio at r_half |
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+
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+ ## Key Validation Results
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+ - **Symmetry-Breaking Threshold:** Verified at $\sigma \approx 0.000204$.
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+ - **Global Shift Factor:** 0.0200 (Required for transitioning from kinematic to topological peaks).
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+ - **Network Coherence:** $r \approx -0.3416$ (Observed resonance-entropy convergence).
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+
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+ ## Repository Contents
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+ - `rrf_v7_gbm.joblib`: Primary predictive model.
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+ - `rrf_v7_scaler.joblib`: StandardScaler for feature normalization.
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+ - `model_config.json`: Metadata and physical constants for deployment.
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+
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+ ## Citation
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+ If using this model in academic research, please cite the RRF Φ5.2 framework documentation and the SPARC dataset calibration session.
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+ **Author:** A. Padilla Morales
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+ **Status:** SECURED_RESONANT | PUBLICATION_READY