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a-value-you-did-not-measure-still-has-a-sourcelisted

Use 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.
tangxiangru/AutoR · ★ 805 · AI & Automation · score 79
Install: claude install-skill tangxiangru/AutoR
# Not measuring something is not the same as having nothing to say about it Some tasks name a deliverable this run cannot produce. The study asks for a synthesised polymer and a DSC trace; you have no bench. It asks for a run on hardware you do not have, or a benchmark behind a licence, or an experiment that takes six weeks. There are three things you can do, and they are not close in value: 1. **Omit it.** The section does not exist. To a reader this is indistinguishable from a run that forgot, and it is scored as absence. 2. **Name the gap.** One paragraph: this was asked for, it could not be done, here is why. Honest, and better than silence. 3. **Report the field's own answer, attributed, and position your work against it.** The value exists — in the source study, in a reference database, in a handbook. Give it, say whose it is, and show what your work does and does not establish about it. The third is what a real paper does. A methods section that needs a melting point it did not measure cites one. A benchmark table with a row you could not run gives the published figure with a citation and a footnote. This is ordinary scholarly practice, and it is the difference between a section that says nothing and a section that positions the run's contribution in the literature. ## Fabrication and citation are different acts The rule you are working under is that no number in the report may be invented, estimated, or narrated into existence: every quantity trac