> ## Documentation Index > Fetch the complete documentation index at: https://docs.quivly.ai/llms.txt > Use this file to discover all available pages before exploring further. # Score absolute usage against your configured thresholds > Usage scoring with only Absolute Value metrics now applies the saved calculation to observed data without treating missing evidence as zero. [Back to What's new](https://docs.quivly.ai/changelog.md) [](https://docs.quivly.ai/updates/2026-10.md) v1.35.2 # Score absolute usage against your configured thresholds Usage scoring with only Absolute Value metrics now applies the saved calculation to observed data without treating missing evidence as zero. When every enabled usage metric uses **Absolute Value**, Quivly calculates the usage category from permitted stored observations using your aggregation, threshold bands, weights, and lookback window. All metrics use the same assessment cutoff. Missing, unreadable, or excluded metrics remain unscored rather than becoming zero. Other categories and usage methods continue to use AI assessment, so this change does not turn every health category into a simple threshold calculation. Review [usage scoring and metric criteria](https://docs.quivly.ai/health-scores/metrics-guide.md). This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.