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[Feature] Loading-ratio threshold tool #180
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ai-suggestedGenerated by AI analysis. Verify scope and need before implementing.Generated by AI analysis. Verify scope and need before implementing.area: uiUser interface and user experienceUser interface and user experiencefeatureNew functionality or capabilityNew functionality or capabilityneeds-ux-designImplementation should not begin until human UX design review/approval.Implementation should not begin until human UX design review/approval.priority: lowLow priority - nice to haveLow priority - nice to have
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ai-suggestedGenerated by AI analysis. Verify scope and need before implementing.Generated by AI analysis. Verify scope and need before implementing.area: uiUser interface and user experienceUser interface and user experiencefeatureNew functionality or capabilityNew functionality or capabilityneeds-ux-designImplementation should not begin until human UX design review/approval.Implementation should not begin until human UX design review/approval.priority: lowLow priority - nice to haveLow priority - nice to have
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Summary
A focused educational sub-tool: scatter-plot of D/Pd loading ratio vs. reported excess power for documented LENR experiments. Visualizes McKubre's x > 0.9 threshold and the Mizuno plasma-electrolysis regime.
Why this matters
The literature review identifies the loading ratio as the single most-cited reproducibility predictor:
A visual showing data points clustering above the 0.9 threshold makes the recipe parameter tangible in a way prose cannot.
Proposed scope
/loading-ratio(or a panel on the proposed Material Recipe Browser [Feature] Material recipe browser #177)Out of scope
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Provenance
Generated by Claude Code from analysis of the HumanScholars LENR literature review. AI-suggested; given small data n, the framing/value of this view requires human review before implementation. Tracked in beads as
lenr-p8g.