Address PR #13 review: 18 comments across M0-M3g specs

M0: economy organ stores local memory ledger; M6 supervises M5
directly, M7 is independent antivirus/guarddog alerting M6 via
Ichor; Ada dependency reframed to economy scope; build sequence
changed to subcomponent-first with ablative tests.

M1: submit_action returns {succeeded|failed}, diagnostics internal
to Conductor; stubs now print "if finished, would respond with..."
for debugging; law script changes require operator + Homunculus
signatures; law script format added as open item.

M2: removed Python/Rust from language options; confidence scale
changed to [0.0, 10.0] per position.

M3 hub: normalized all time horizons to ~40s wall time windows;
confidence scale 0.00-10.00 with "X.XX/10.00" print format; gain
rates as "low - mid - high / 10.00"; removed Python from language
list across all sub-specs (M3a-M3g).

M3a: Julia/R/Fortran/Octave replaces Python; fBM citation added
(Hosking 1984, Wood & Chan 1994); confidence/correctness/certainty
distinguished as 3 separate metrics; models span multiple horizons.

M3b: models span multiple horizons note added; Mesa/Python removed.
M3c: Solidity for on-chain precision; Julia/Octave for analytics.
M3d-M3g: Python removed; confidence values updated to 10.0 scale.

core/docs/plans/M3b-sociological-sims.md

@@ -17,9 +17,9 @@ solvers C3). Crypto pump-and-dump ABM C3 (3-agent protocol validated on historic
 Pop behavioral models C1.
 
 ## 3. Language & location
-TBD · `src/economy/sims/sociological/`. Agent-based modeling frameworks (Mesa/Python, NetLogo,
-or custom). Needs efficient population iteration, strategy mutation, PDE solvers for MFG
-(HJB + Fokker-Planck), and bandit algorithms (UCB/Thompson).
+TBD · `src/economy/sims/sociological/`. Agent-based modeling frameworks (NetLogo, or custom).
+Needs efficient population iteration, strategy mutation, PDE solvers for MFG (HJB +
+Fokker-Planck), and bandit algorithms (UCB/Thompson). Julia, R, or Fortran.
 
 ## 4. Does / does-not
 - **Does:** simulate populations of behavioral archetypes competing in a market; apply
@@ -59,14 +59,16 @@ or custom). Needs efficient population iteration, strategy mutation, PDE solvers
   | Annual | Long-run evolutionary stable strategies (ESS) | Monthly roll |
   | 5-year | MFG stationary equilibria, structural population shifts | Quarterly roll |
 - Examples:
-  `{ value: 7.3, lower_bound: 5.0, upper_bound: 9.1, confidence: 0.68,
+  `{ value: 7.3, lower_bound: 5.0, upper_bound: 9.1, confidence: 6.80,
   time_horizon: "12h", sim_type: "sociological" }` — herd-panic index (0–10).
-  `{ value: 0.42, lower_bound: 0.31, upper_bound: 0.55, confidence: 0.72,
+  `{ value: 0.42, lower_bound: 0.31, upper_bound: 0.55, confidence: 7.20,
   time_horizon: "1w", sim_type: "sociological" }` — fraction of pops in "contrarian" strategy.
-  `{ value: "promotion", lower_bound: null, upper_bound: null, confidence: 0.61,
+  `{ value: "promotion", lower_bound: null, upper_bound: null, confidence: 6.10,
   time_horizon: "current", sim_type: "sociological" }` — pump-and-dump phase detection.
-  `{ value: 0.78, lower_bound: 0.65, upper_bound: 0.88, confidence: 0.70,
+  `{ value: 0.78, lower_bound: 0.65, upper_bound: 0.88, confidence: 7.00,
   time_horizon: "30d", sim_type: "sociological" }` — MFG equilibrium stability index.
+  Models span multiple horizons — e.g. replicator dynamics runs hourly through annual; MFG
+  produces weekly equilibria and 5-year stationary states. The table shows primary assignments.
 - **Prediction types:** `sentiment_index`, `herd_threshold`, `strategy_distribution`,
   `cascade_probability`, `coordination_stability`, `opinion_cluster_count`,
   `pump_dump_phase`, `mfg_equilibrium_stability`, `narrative_regime`.