| { | |
| "name": "king-1-quality-process", | |
| "description": "CASE 1 — Forecast quality via process realism (weekly demand + ARIMA integrated + RBF/RQ spectral + prefix-causal artifacts).", | |
| "min_length": 4096, | |
| "max_length": 4096, | |
| "family_weights": { | |
| "trend_seasonal_ar": 0.1104, | |
| "regime_shift": 0.1104, | |
| "multiplicative": 0.0736, | |
| "ar2": 0.138, | |
| "integrated": 0.1104, | |
| "threshold_ar": 0.0736, | |
| "chaotic": 0.0368, | |
| "spectral_gp": 0.0644, | |
| "long_memory": 0.0552, | |
| "ou_stochastic_vol": 0.092, | |
| "physical_sensors": 0.0184, | |
| "seasonal_counts": 0.0184, | |
| "intermittent": 0.0092, | |
| "pulse_outlier": 0.0092, | |
| "weekly_demand": 0.08 | |
| }, | |
| "tr_exc_lo": 0.4, | |
| "tr_exc_hi": 2.5, | |
| "gr_exc_lo": 0.3, | |
| "gr_exc_hi": 1.5, | |
| "sa_clean_frac": 0.4, | |
| "sa_clean_lo": 0.02, | |
| "sa_clean_hi": 0.12 | |
| } | |