Results 151 to 160 of about 39,331 (259)
Bias in, symbolic compliance out? GPT's reliance on gender and race in strategic evaluations
Abstract Research summary Organizations are increasingly using large language models (LLMs) to support strategic evaluations. We examine whether and how these systems rely on gender and race. We asked GPT to evaluate identical startup pitches varying only the founder's name, shaping gender and race perceptions.
Tristan L. Botelho, Qingyang (Iris) Wang
wiley +1 more source
Baselining Large Language Model Performance in Systems Engineering Using SysEngBench
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell +3 more
wiley +1 more source
ABSTRACT Pancreatic cancer is the fourth leading cause of cancer deaths in the US and predicted to rise to second by 2030. Several risk factors have been identified as potential contributors to pancreatic cancer development including lifestyle factors and long‐term exposure to occupational and environmental carcinogens.
Barbara A. Hocevar, Lisa M. Kamendulis
wiley +1 more source
ABSTRACT Endocrine‐disrupting chemicals (EDCs), such as 17α‐ethinylestradiol (EE2), have raised concerns about their potential effects on aquatic organisms, particularly during early developmental stages. In this context, the study of behavioral disruption has gained considerable attention, as it may have consequences on individual fitness and ...
Soloperto Sofia +6 more
wiley +1 more source
ABSTRACT Metal contamination in aquatic ecosystems poses substantial risks to freshwater organisms, with mixture effects often deviating from predictions based on single‐metal toxicity. Understanding how age‐specific sensitivities and multiple exposure pathways influence mixture effects is critical for accurate risk assessment.
Sanah Majid +3 more
wiley +1 more source
ABSTRACT Introduction Large language models (LLM) are being rapidly integrated into healthcare, particularly to streamline time‐ and labor‐intensive administrative processes. However, the potential for artificial intelligence (AI) systems to demonstrate bias when employed for insurance authorization remains poorly understood.
Shannon S. Wu +3 more
wiley +1 more source
A Comparative Evaluation of GPT-4 Turbo and Gemini-Pro in Medical Licensing Exams: Enhancing Artificial Intelligence's Role in Medical Education. [PDF]
Sussan TT +7 more
europepmc +1 more source
Abstract In this article, the key dilemmas that will confront the new Labour administration in Britain during its initial period in power are examined. The Starmer government is seeking to use the state pragmatically to improve British economic performance, stem the crisis in public services and strengthen the strategic capacity of Whitehall.
Patrick Diamond +2 more
wiley +1 more source
Chromosome-level genome assembly of the horned turban snail Turbo cornutus. [PDF]
Li C +5 more
europepmc +1 more source
ABSTRACT Background Differentiating transition zone (TZ) prostate cancer (PCa) from benign prostatic hyperplasia (BPH) on multiparametric MRI is challenging. The comparative performance of synthetic MRI (Sy‐MRI) and apparent diffusion coefficient (ADC) for this task is unclear.
Yu Zhang +5 more
wiley +1 more source

