Results 161 to 170 of about 698,564 (286)
Awareness, Experiences, and Attitudes Toward Preprints Among Medical Academics: Convergent Mixed Methods Study. [PDF]
Sevim M, Karamese B, Alparslan Z.
europepmc +1 more source
Abstract During the COVID‐19 pandemic, the need for quick public health action often conflicted with the careful methods required in phylogenetics. To explore this, we reviewed 217 SARS‐CoV‐2 studies published from January 2020 to March 2025 in 121 journals.
Omkar Marne, Denis Jacob Machado
wiley +1 more source
Forty years of changes in scientific publishing: from conflict of interest to generative AI. [PDF]
Bauchner H.
europepmc +1 more source
Emerging applications of large language models in ecology and conservation science
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
Will AI-written and AI-reviewed preprints from aiXiv be bibliometrically accepted? [PDF]
Teixeira da Silva JA.
europepmc +1 more source
Biodiversity offsetting should be based on adequately large multipliers to deliver no net loss or a net gain for biodiversity, yet the multipliers are often applied without quantitative assessment of the ecological outcomes of offset actions. Here, we show how ecologically realistic offset multipliers were defined based on ecological response estimates
Joel Jalkanen +7 more
wiley +1 more source
Aim To synthesize research evidence on the psychometric properties of outcome measures alongside practical implementation considerations relevant to children, families, practitioners, and services, and produce evidence‐based practice resources to support clinical decision‐making in outcome measurement for the early childhood intervention (ECI) context.
Suzanne H. Long +6 more
wiley +1 more source
Moving from disclosure to substance in AI transparency. [PDF]
Zhan H, Moore JH.
europepmc +1 more source

