Structured protocol for running data science research campaigns:
- Phase 1-8 workflow from problem formulation through synthesis
- Entry/exit criteria and failure modes for every phase
- Executable code examples: sklearn pipelines, PyTorch training loops,
Optuna HP search, distillation, pruning
- See Also references to all companion documents
Part of #22
