TASK: Produce a scenario matrix and attribute TTE reductions to drivers.

INPUT DATA:
- BASELINE_CONFIG_v1
- Choose z0 = 1.00 only
- Define 8 scenarios total:
  S0 baseline
  S1 brightness reduced: L(t) scaled by 0.5
  S2 CPU reduced: C(t) scaled by 0.5
  S3 network reduced: N(t) scaled by 0.5
  S4 signal worsened: Ψ(t) replaced by min(Ψ, Ψ_poor) for entire run
  S5 cold ambient: T_a = 0°C constant
  S6 hot ambient:  T_a = 40°C constant
  S7 background cut: P_bg reduced by 50%

METHODOLOGY:
1) For each scenario, run simulation and compute TTE_hours.
2) Compute ΔTTE_hours = TTE(Si) - TTE(S0).
3) Rank scenarios by most negative ΔTTE (largest reduction).
4) For top 3 reductions, compute “mechanistic signatures”:
   avg(P_tot), max(I), min(Δ), avg(R0), avg(Q_eff)

DELIVERABLES:
A) SCENARIO_TTE_TABLE_v1 (CSV):
   scenario_id, description, TTE_hours, ΔTTE_hours, termination_reason
B) DRIVER_RANKING_v1 (JSON):
   ordered list of scenario_id with ΔTTE_hours
C) MECH_SIGNATURES_v1 (CSV) for top 3 reductions:
   scenario_id, avg_P, max_I, min_Δ, avg_R0, avg_Qeff

VALIDATION:
- All scenarios must terminate with a valid event reason.
- No scenario may produce NaN/inf in stored columns.

OUTPUT FORMAT:
CSV, JSON, CSV. No prose.