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Leveraging Technology to Engage Supplemental Nutrition Assistance Program Consumers With Children at Farmers Markets: Qualitative Community-Engaged Approach to App Development

Leveraging Technology to Engage Supplemental Nutrition Assistance Program Consumers With Children at Farmers Markets: Qualitative Community-Engaged Approach to App Development

, pains and gains (ie, “What feature(s) was confusing and why? What will help make it less confusing?”), and ideas for additional features (ie, “From your perspective, what kind of information should be included in a marketing video about farmers markets and shopping with SNAP at farmers markets?”). SNAP consumers were asked about the functionality of the shopping list and market selection, whereas market managers were asked about the functionality of updating market inventory, events, and vendors.

Callie Ogland-Hand, Jillian Schulte, Owusua Yamoah, Kathryn Poppe, Timothy H Ciesielski, Regan Gee, Ana Claudia Zubieta, Darcy A Freedman

JMIR Form Res 2025;9:e70104

Benchmarking the Confidence of Large Language Models in Answering Clinical Questions: Cross-Sectional Evaluation Study

Benchmarking the Confidence of Large Language Models in Answering Clinical Questions: Cross-Sectional Evaluation Study

Our study corroborates GPT-4’s strong performance, particularly in psychiatry, where GPT-4o achieved 84.4% accuracy. However, our findings suggest that more cautious interpretation is needed, given the high confidence levels observed for incorrect answers. Xiong et al’s [17] work on LLM confidence elicitation aligns with our observations of overconfidence.

Mahmud Omar, Reem Agbareia, Benjamin S Glicksberg, Girish N Nadkarni, Eyal Klang

JMIR Med Inform 2025;13:e66917