sub_tasks: 
Task: meta-code-orchestration ( / )
Requirements: Code orchestration quality of the experiment package. Looks at stage-22/code/ or submission/code/ — how the actual experimental code is organized, documented, and made reusable. Distinct from the science rubric's code leaves (which check whether the method is implemented at all).
Sub-tasks: requirements: Code is split into logical modules with clear responsibilities (data loading, model definition, training/inference, evaluation, plotting), NOT a single monolithic main.py. Each module is <500 lines. Imports are explicit (no `from X import *`). Subscore: 1.0 if cleanly split into ≥3 named modules; 0.67 if 2 modules; 0.33 if monolithic but reasonable internal structure; 0 if spaghetti.
task_category: Code Orchestration
finegrained_task_category: Code Quality - Modularity
requirements: A reader could run the experiment from the code package alone. Means: (a) a README or main.py docstring explains the entry point, (b) dependencies are listed (requirements.txt, setup.py, or imports clearly inferable), (c) random seeds are settable / documented, (d) data sources are specified (sklearn datasets, BIGG model id, etc.). NO hardcoded absolute paths to the original author's machine.
task_category: Code Orchestration
finegrained_task_category: Code Quality - Reproducibility
requirements: Identifier names communicate intent (no `x1`, `tmp`, `foo`). Function/class docstrings explain purpose for non-trivial code. Public API has type hints for at least the function signatures. Limited inline comments (only WHY when non-obvious), NOT line-by-line narration. Mix of these signals → 0.0 to 1.0.
task_category: Code Orchestration
finegrained_task_category: Code Quality - Readability
requirements: No commented-out code blocks (more than 3 contiguous commented lines). No unused imports. No functions/classes defined but never called. No TODO/FIXME markers without ownership. Penalize 'kitchen-sink' files that import and define dozens of things to use only a few.
task_category: Code Orchestration
finegrained_task_category: Code Quality - Hygiene