在NIMH授予的研究领域标准中,研究领域标准使用大型语言模型进行表征
Roy H Perlis1,2,3
1Center for Quantitative Health, Massachusetts General Hospital, Boston.
JAMA network open
|February 12, 2025
概括
国家心理健康研究所 (NIMH) 对研究领域标准 (RDoC) 领域的资助显示了多样化的科学影响. 社会和积极价值领域的出版和引用较少,而社会,认知和跨诊断方法减少了专利申请.
科学领域:
- 心理健康研究 心理健康研究
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
背景情况:
- 国家心理健康研究所 (NIMH) 越来越多地推广精神病学研究的跨诊断方法,与研究领域标准 (RDoC) 框架保持一致.
- 该RDoC框架旨在将精神病状况与潜在的神经生物学更紧密地映射出来.
研究的目的:
- 分析NIMH对个别RDoC领域和跨诊断研究的研究资金的趋势.
- 评估这笔资金对出版率,引文影响和专利申请的影响.
主要方法:
- 一项纵向队列研究确定了NIMH从2003年到2023年资助的R01,R21和R03赠款.
- 一个大型语言模型被用来根据RDoC领域 (负价值,正价值,认知,社会,唤起,感官运动) 来分类授予摘要.
- 回归模型分析了资助领域和结果 (出版物,5年引用影响,专利) 之间的关联.
主要成果:
- 在8897个受资助的项目中,很大一部分专注于负价值 (35.3%),认知 (31.3%) 和社会 (18.1%) 领域.
- 跨诊断观点在20.2%的项目中存在.
- 积极价值和社会领域的奖学金与出版物减少和引用影响较低有关.
- 社会,认知和跨诊断研究方法显示,导致专利申请的可能性较低.
结论:
- 跨不同RDoC领域的NIMH资助的研究显示出科学影响的实质性差异,通过出版物,引文和专利来衡量.
- 该研究强调了大型语言模型对于大规模研究提案分析的有用性.
- 调查结果可以为NIMH资源分配策略提供信息,以优化科学投资回报.
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