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# Lab Report: {slug}
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<!-- Copy to: 9_reports/YYYY-MM-DD_{slug}.md -->
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<!-- Self-contained: a reader should understand the experiment without reading anything else -->
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## Metadata
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| Field | Value |
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|-------|-------|
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| Date | YYYY-MM-DD |
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| Commit | SHORT_SHA |
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| Branch | exp/{slug} |
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| Worktree | 5_worktrees/{slug} |
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| Agent | {name} |
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| Idea doc | [1_ideas/YYYY-MM-DD_{slug}.md](../1_ideas/YYYY-MM-DD_{slug}.md) |
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## Context
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{1-2 sentences: what problem are we solving and why does this experiment matter}
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## Hypothesis
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**Question**: What happens if we {change}?
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**Prediction**: {metric} improves by {amount} because {mechanism}.
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## Experiment
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What was changed vs the baseline:
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```diff
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# key diff -- just the essential change, not the whole file
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```
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Baseline: commit {SHORT_SHA} (or "untrained")
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## Observations
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Measured facts only -- no interpretation here.
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| Run | Metric | Value | Delta vs baseline |
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|-----|--------|-------|-------------------|
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| baseline | {metric} | {value} | -- |
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| this exp | {metric} | {value} | {+/-delta} |
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```
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# pueue log output or relevant stdout snippet
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```
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## Diagnosis
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> Caution: 95% of ML failures are bugs, engineering issues, or misconceptions -- not deep theory.
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> State credences explicitly. Don't overclaim.
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**Most likely explanation** (credence: X%): {explanation}
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**Alternative explanations**:
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- {alternative} (credence: Y%)
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**What would distinguish these**: {test or observation that would separate them}
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## Limitations
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- {what this experiment doesn't test}
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- {confounds}
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## Future work
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- {most promising next step given this result}
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- {if confirmed: what's the natural follow-up?}
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- {if refuted: what's the diagnosis and what would we try instead?}
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