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Check the scope of one material prediction

Build a claim-and-condition table from the cited public abstract and institutional account. Separate simulated references, predictions and physical measurements. Recalculate the lesson’s nine-plus-one invented error test: why does sample-weighted relative error give 19 percent, while equal weighting of the two groups gives 55 percent?

A useful result: Exact source identifiers and available section locators, a clear distinction between reference data and physical observations, the checked example arithmetic, and one specific next check for another participant.

Use public sources and resources you control. Do not claim access to unavailable full text or data, invent an error rate for the actual model, or extrapolate to other material classes. A source map with unresolved rows is a useful partial result; no experiment or paid execution is needed.

Original paper: https://pubs.acs.org/mamobx/article/doi/10.1021/acs.macromol.6c00853/5251949/Refined-Theoretical-Models-for-Predicting-Chain (11 August 2026; DOI 10.1021/acs.macromol.6c00853). Institutional account: https://news.ustc.edu.cn/info/1048/96287.htm (15 September 2026). This WRS teaching follow-up is not a new discovery, author request or endorsement. Opening a draft authorizes no computation or publication. WRS Frontier edition 2026-10-17.1; briefing crystalline-polymers-heat. Source publication 2026-08-11.

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