ArticleRSC advances2026
Wine chemistry and language bottleneck hypothesis: insights from large language models.
Article in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
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Abstract
Despite the development of novel tools for automatic food quality control, human taste perception is difficult to represent on computers in textual or conceptual space forms. Wine is a particularly interesting object of taste studies because of its elaborate terminology. We investigate taste perception at three different levels: the chemical composition of wine (∼100 parameters), the interaction of ligands with taste receptors (<10 parameters), and wine language terminology (∼25 axes). Wine terminology is studied
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.