feat(profiler/behave_shell): emit motor.error_correction

BEHAVE-EXTRACTOR.md Phase B Step B.3. Replaces the prototype's
two-line "0 vs >0 backspaces" placeholder with a backspace-timing
classifier that honours the registry's full vocabulary.

* SessionContext gains backspace_count, backspace_iats (IAT from
  each backspace back to the preceding non-backspace input event),
  and kill_line_count (^U / ^W). Built by _scan_correction_signals,
  which retains only counts and timing aggregates — no character
  data leaves the helper, in line with the BEHAVE PII discipline.
* _features/motor.py:error_correction(ctx) emits one Observation
  in {immediate, deferred, absent, route_around}.
  - 0 backspaces + ≥1 ^U/^W → route_around (rewrite, not correct)
  - 0 backspaces + 0 kill-lines → absent
  - backspaces with median IAT ≤ 500 ms → immediate
  - slower → deferred
  Confidence 0.65 / 0.65 / 0.55 / 0.55.
* < 3 inputs → skip emit.
* Calibration grid widened to include motor.error_correction;
  green across all five shards.

Tests cover all four buckets, the < 3 inputs skip, and the PII
regression (raw command body never appears in the serialised
observation).

decnet/profiler/behave_shell/_features/__init__.py

@@ -18,6 +18,7 @@ from decnet.profiler.behave_shell._features.cognitive import (
     inter_command_latency_class,
 )
 from decnet.profiler.behave_shell._features.motor import (
+    error_correction,
     input_modality,
     keystroke_cadence,
     motor_stability,
@@ -31,6 +32,7 @@ FEATURES: tuple[FeatureFn, ...] = (
     paste_burst_rate,
     keystroke_cadence,
     motor_stability,
+    error_correction,
     inter_command_latency_class,
     command_branch_diversity,
     feedback_loop_engagement,