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Shinichi Nakagawa

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Open access Oct 2026

prepR4pcm: An R package for preparing data and trees for phylogenetic comparative methods

Phylogenetic comparative methods require species names in a trait dataset to match tip labels in a phylogenetic tree. Yet this apparently simple prerequisite is often one of the most fragile steps in a comparative workflow. Names may differ because of, for example, formatting, taxonomic revisions, synonyms, or spelling...

Shinichi Nakagawa, Santiago Ortega, Ayumi Mizuno et al. · 0 citations
#small language model Open access Sep 2026

A Japanese-Dietitian Prompt Systematically Shifts Portion Estimates in LLM-Based Nutrient Estimation from Food Images: A Multi-Dataset, Multi-Model Study

Background/Objectives: In food-image nutrient estimation with vision-language models (VLMs), portion size is a dominant source of error, yet how a prompt shifts the estimated amount—and in which direction—remains uncharacterized. We tested whether a Japanese-dietitian prompt acts as a systematic, directional influence...

Shinichi Nakagawa, A. Yamamoto · 0 citations

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