Online Andrology: Real-World Status Quo of Patients' Online Information Sources and Comparison With Large Language Models in Germany. [PDF]
AndrologyABSTRACT Background The internet, including websites and large language models (LLMs), is an increasingly important information resource for medical patients. However, information quality varies, potentially leading to misinformation. Andrological patients may particularly rely on online sources due to the sensitive nature of their conditions ...
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Understanding pre- and post-COVID urban neighborhood dynamics: a study analyzing georeferenced tweets for New York City. [PDF]
Comput Urban SciMattes M, Arifi D, Resch B.
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How latent and prompting biases in AI-generated historical narratives influence opinions. [PDF]
PNAS NexusShu M, Karell D, Okura K, Davidson TR.
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BioWikiNet: Multilingual wikipedia taxonomic networks aligned with the GBIF backbone taxonomy. [PDF]
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Scientific autonomy in the structural bubble: from institutional bias to AI-mediated consensus. [PDF]
Front Res Metr AnalRubenstein E.
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Associations of Emotional Divergence in Risk Communication With Forecast Error Type During Typhoon Khanun. [PDF]
GeohealthKim K, Kam J.
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Cosmos 1.0: a multidimensional map of the emerging technology frontier. [PDF]
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Multi-agent systems and credibility-based advanced scoring mechanism in fact-checking. [PDF]
Sci RepDong Y, Ito T.
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Patterns in Curated Celebrity Mortality Data: An Exploratory Analysis of Cardiovascular Disease Representation and Dataset Bias. [PDF]
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Unequal Scientific Recognition in the Age of LLMs. [PDF]
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