Specialist fleet: pilot sweep results + automatability decomposition

Pilot sweep (all 4 gates, small_plus + medium):
  verification_type  84.3%  (medium, no_gain_stop_scaling)
  worker_type        80.8%  (small_plus, scale_more)
  automatability     78.3%  (medium, decompose_or_relabel)
  prereq_op          72.2%  (small_plus, decompose_or_relabel)

Automatability: 2-stage decomposition resolves Directional Collapse.
  Stage 1 binary (low_entropy vs needs_routing): 100%
  Stage 2 4-way (specialist/slm/llm/human): 100%
  Combined 5-way pipeline: 100%
  Script: specialists/scripts/split_automatability_decompose.py

Worker_type: combined dataset (sprint plans + projects) improves
  implementer class from 42.9% → 75.0%, overall 80.8% → 92.2%.
  Combined train/eval TSVs added.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

specialists/data/generated/automatability_binary_eval.tsv

@@ -0,0 +1,46 @@
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