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相关概念视频

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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Gene Duplication and Divergence02:37

Gene Duplication and Divergence

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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
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Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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相关实验视频

Updated: Jan 9, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

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在生成性AI时代,冗余出版物的急剧增加.

Danny Maupin1, Tulsi Suchak1, Adrian Barnett2

  • 1School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, UK.

BMC medicine
|December 9, 2025
PubMed
概括

由于生成AI (GenAI),冗余出版物激增,人工智能生成的手稿避开了当前的抄袭检查. 这表明编辑完整性的系统性失败,需要更新的指导方针来保护科学记录.

关键词:
科普公司 COPE COPE生成性AI是一种人工智能.诚信 诚信是一种诚信.尼汉斯 (NHANES) 是一个名人.造纸厂 造纸厂 造纸厂 在抄袭行为 抄袭行为冗余的出版出版物.

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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相关实验视频

Last Updated: Jan 9, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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科学领域:

  • 科学完整性 科学完整性
  • 图书统计学 图书统计学
  • 卫生研究伦理 卫生研究伦理

背景情况:

  • 冗余的出版物扭曲了科学记录,浪费了资源.
  • 越来越多地使用大型开放科学数据,如NHANES,引发了人们对人工智能促进的冗余手稿的担忧.
  • 生成型人工智能 (GenAI) 可能正在实现创建公式式,冗余的出版物.

研究的目的:

  • 从一个单一的大型健康数据集 (NHANES) 中量化冗余出版物.
  • 为了调查GenAI是否可以生产能够逃避标准完整性检查的合成手稿.
  • 在GenAI时代评估当前窃检测的有效性.

主要方法:

  • 使用NHANES数据 (2021-2025) 系统搜索冗余出版物.
  • 冗余的定义:相同的暴露,结果和国家人口.
  • 促使GenAI创建旨在逃避检测的合成手稿;用抄袭软件进行测试.

主要成果:

  • 在156个暴露-结果配对中,确定了411个冗余出版物.
  • 例如:NHANES关于氧化平衡得分和慢性病的数据在一年内发表了6次.
  • 基因AI生成的手稿显示相似度得分较低 (14-26%),避开了典型的抄袭值.

结论:

  • 冗余出版物的17倍增长 (2022-2024) 标志着编辑检查的系统性失败.
  • 冗余的论文扭曲了研究 (元分析,科学计量) 并浪费了同行评审资源.
  • 目前的抄袭和冗余检查对GenAI来说不足;出版商需要加强合作和指导方针.