GSDAW Results Section Writer — writes Phase 5 (Results) of an academic paper. Triggers when user approves Methodology via Discuss #3 and runs /aw-execute, or explicitly runs /aw-write-results. Reads methodology.md for metrics/baselines and experimental data/notes. Outputs independent paragraph .tex files to sections/results/ for wave aggregation.
Write the Results section (Phase 5) of an academic paper based on the approved Methodology and experimental data. Produces six independent paragraph files for wave aggregation by aw-execute.
/aw-execute pipeline/aw-write-resultsBefore starting, verify:
.planning/methodology.md exists and is approved.planning/experimental-data/ or referenced in methodology.md)sections/results/ directory exists in the manuscript projectaw-write-results starts
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Read: .planning/methodology.md
│ Extract: metrics, baselines, ablation studies, expected results
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Locate: Experimental data / notes
│ Check: .planning/experimental-data/, .planning/notes/, or inline in methodology.md
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Write: sections/results/5-1-simulated.tex
│ → Results on simulated dataset
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Write: sections/results/5-2-aluminum.tex
│ → Results on aluminum dataset
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Write: sections/results/5-3-cfrp.tex
│ → Results on CFRP dataset
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Write: sections/results/5-4-generalization.tex
│ → Cross-domain generalization results
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Write: sections/results/5-5-detection.tex
│ → Detection accuracy / precision results
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Write: sections/results/5-6-ablation.tex
│ → Ablation study results
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Report completion
Read .planning/methodology.md and extract:
| Field | Section | Use |
|---|---|---|
| Datasets | Experiment Design / Datasets | Which datasets to report results for |
| Baselines | Experiment Design / Baselines | Comparison targets |
| Evaluation Metrics | Experiment Design / Evaluation Metrics | What to measure |
| Ablation Studies | Experiment Design / Ablation Studies | What components to ablate |
| Expected Results | Expected Results | Baseline predictions for comparison |
| SNR Metrics | (if applicable) | Signal-to-noise improvement tables |
## Experiment Design
### Datasets
| Dataset | Size | Split | Justification |
|---------|------|-------|---------------|
| Simulated | 10K samples | 80/10/10 | ... |
| Aluminum | 5K samples | 70/15/15 | ... |
| CFRP | 8K samples | 80/10/10 | ... |
### Baselines
| Baseline | Source | Justification |
|----------|--------|---------------|
| MethodX | [paper] | Standard baseline for this task |
| MethodY | [paper] | Most similar approach |
### Evaluation Metrics
| Metric | Definition | Why Selected |
|--------|------------|--------------|
| SNR Improvement | ... | Primary metric |
| Detection Rate | ... | Task-specific |
| Accuracy | ... | Standard classification metric |
### Ablation Studies
| Ablation | Expected Impact | Rationale |
|----------|-----------------|------------|
| Remove Component A | ~3-5% drop | Provides X |
| Replace attention | ~2% drop | Adds overhead but captures Y |
Check for experimental data in the following locations (in priority order):
.planning/experimental-data/results.yaml or .planning/experimental-data/results.json.planning/notes/ directory with per-dataset result files.planning/methodology.md under "Expected Results"sections/experiment.tex if experiment section was already written# .planning/experimental-data/results.yaml