Screening of 52,000 bioRxiv preprints finds dual-use-adjacent content routinely present in open titles and abstracts, often exceeding risk thresholds.
2019.Content Analysis
6 Pith papers cite this work. Polarity classification is still indexing.
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LLMs routinely produce unsupported causal stories for personal sensing anomalies, and richer evidence or constrained prompts do not reliably eliminate this epistemic overreach.
The paper defines five AI system categories for public administration and reports that 55% of 91 recent papers leave the system type underspecified while 31% study one type but motivate with another.
Introduces the first structured definition of the circular space economy along with the 10R Space Framework and three operational environments to promote sustainability in space operations.
LLMs classify Gaza War headlines as strongly negative while fine-tuned Arabic BERT models favor neutral labels, producing measurable non-random divergences in sentiment distributions.
A semantic search system was deployed at health-system scale across 166 million clinical notes, delivering sub-second latency, ~$4000 monthly cost, and 24-89% faster chart abstraction with maintained agreement.
citing papers explorer
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The Biosecurity Blind Spot: Systematic Dual-use Detection in Open Science Infrastructure
Screening of 52,000 bioRxiv preprints finds dual-use-adjacent content routinely present in open titles and abstracts, often exceeding risk thresholds.
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A Technical Typology of AI Systems in Public Administration
The paper defines five AI system categories for public administration and reports that 55% of 91 recent papers leave the system type underspecified while 31% study one type but motivate with another.
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Conceptualizing and Defining the Circular Space Economy
Introduces the first structured definition of the circular space economy along with the 10R Space Framework and three operational environments to promote sustainability in space operations.
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Sentiment Classification of Gaza War Headlines: A Comparative Analysis of Large Language Models and Arabic Fine-Tuned BERT Models
LLMs classify Gaza War headlines as strongly negative while fine-tuned Arabic BERT models favor neutral labels, producing measurable non-random divergences in sentiment distributions.
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Health System Scale Semantic Search Across Unstructured Clinical Notes
A semantic search system was deployed at health-system scale across 166 million clinical notes, delivering sub-second latency, ~$4000 monthly cost, and 24-89% faster chart abstraction with maintained agreement.