a-value-you-did-not-measure-still-has-a-source
SolidUse at Stage 06 and Stage 07 when a deliverable the task named cannot be produced by this run at all — a wet-lab measurement, a synthesised material, a proprietary benchmark, hardware you do not have. Covers the difference between fabricating a number and citing one, where the cited value belongs, and why omitting the section is the worst of the three options.
Install
Quality Score: 85/100
Skill Content
Details
- Author
- tangxiangru
- Repository
- tangxiangru/AutoR
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- NOASSERTION
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
evidence-not-assertion
Use whenever a number, a comparison or a claim is about to enter a stage summary or the report — at analysis and writing, and any time you are tempted to state a value you have not computed in this run. Covers where a number must come from, what to do when the experiment did not run, and why an honest gap outscores a plausible sentence.
cover-what-the-task-named
Use at study design and again before writing, to check that every deliverable the task statement names has been produced. Covers how to enumerate what was asked for, why partial coverage scores worse than it feels, and what to do when a named deliverable is out of reach.
close-the-gap-to-the-published-number
Use at Stage 05 and Stage 06 the moment a reproduction lands materially off a number the source study published — a different order of magnitude, an inverted trend, a collapsed estimate. Covers why the gap is a defect in your pipeline until you have shown otherwise, how much of the remaining budget to spend closing it, and what to write when it will not close.