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Taste-DNA match explorer
Put a wine and a palate on the same eight axes and predict who will actually enjoy the bottle — with the reasons and the uncertainty shown.
AIDecision systems
Synthetic
Synthetic demo profiles, seeded and reproducible. It predicts personal enjoyment, not wine quality — and it is not OENRA's model or real chemistry.
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What it proves
Personal enjoyment isn't a universal score — it's a match between two profiles on shared axes, and an honest version shows which dimensions drive it and how sure it is.
How it works
- Each dimension's fit is a tolerance curve — a mismatch on a dimension you care about costs more than one you're indifferent to.
- The overall match is the importance-weighted average of the per-dimension fits.
- The confidence band widens as data completeness falls — a wine known only from its label gets a wider interval than one with full chemistry.