{
  "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
}