Assessing the effectiveness of ontology-grounded AI term extraction using OntoGPT for environmental evidence synthesis [0.03%]
基于本体的OntoGPT在环境证据综合中的术语提取效果评估研究
Ryan Y Hodgson,Steven A Robinson,Amélie C Boutin et al.
Ryan Y Hodgson et al.
Evidence syntheses are valuable sources of robust and transparent knowledge that can identify gaps in research and inform evidence-based decision making. However, the process of synthesis is time consuming and costly. We investigate a new A...
What research exists on the presence of 6PPD-Q in different environmental media? A systematic map protocol [0.03%]
关于6PPD-Q在不同环境介质中存在情况的研究有哪些？系统地图方案
Sultan Aljohani,Mary Engels,Kenneth E Wallen
Sultan Aljohani
Background: Automobiles are ubiquitous in the modern world, and chemicals leaching from car tires and from the tire wear particles produced during driving can be toxic to the environment, particularly in aquatic ecosystem...
Correction: What evidence exists on how biodiversity is affected by the adoption of carbon footprint-reducing agricultural practices? A systematic map [0.03%]
纠正：关于减少碳足迹的农业实践对生物多样性的影响有哪些证据？系统地图
Stuart Rowlands,Julia Casperd,Michael R F Lee et al.
Stuart Rowlands et al.
Published Erratum
Environmental evidence. 2025 Dec 13;14(1):25. DOI:10.1186/s13750-025-00376-3 2025
What evidence exists on the impacts of human activities on biodiversity and carbon capacity in North-East Atlantic blue carbon ecosystems: a systematic map protocol [0.03%]
人类活动对东北大西洋蓝色碳生态系统的生物多样性和碳汇能力影响的证据：系统映射方案
Zina Kebir,Vera Helene Hausner,Ann Eileen Lennert et al.
Zina Kebir et al.
Background: Coastal ecosystems, including seagrass meadows, saltmarshes, and macroalgae, are crucial in the sequestration and storage of organic carbon. These ecosystems provide essential ecosystem services, such as suppo...
Identifying and addressing the anthropogenic drivers of global change in the North Sea: a systematic map [0.03%]
北海南部人为驱动因素的系统评价映射项目：识别和评估导致全球变化的人类驱动因素
Alexandra M Blöcker,Dominik Auch,Helene M Gutte et al.
Alexandra M Blöcker et al.
Background: Marine ecosystems worldwide face extreme stress from human activities, with the North Sea being particularly affected and experiencing altered processes. To assess anthropogenic drivers for sustainable managem...
What is the nature of evidence regarding relationships between urban agriculture and gentrification? A systematic map protocol [0.03%]
关于城市农业与城市更新之间关系的证据性质是什么？系统地图方案
Anton Parisi,Beatrice Walthall,Paola Clerino et al.
Anton Parisi et al.
Background: As people work towards environmental sustainability for urban environments and everyday lives, tensions have been seen in different efforts on food, housing, environmental management, urban planning, and many ...
What evidence exists on the effectiveness of algae as biomonitors of pollution in estuaries? A systematic map protocol [0.03%]
关于藻类作为河口污染生物监测器的有效性的证据存在性：系统地图方案
Daniel Tremmel,Carla Carvalho,Túlio Silva et al.
Daniel Tremmel et al.
Background: Estuarine coastal regions play a critical role in global aquatic ecosystems, providing essential benefits such as diverse marine habitats, support for local economies through fisheries and tourism, and serving...
Spanish-language text classification for environmental evidence synthesis using multilingual pre-trained models [0.03%]
使用多语言预训练模型进行西班牙语文本分类以支持环境证据综合研究
Violeta Berdejo-Espinola,Ákos Hajas,Richard Cornford et al.
Violeta Berdejo-Espinola et al.
Artificial intelligence (AI) is increasingly being explored as a tool to optimize and accelerate various stages of evidence synthesis. A persistent challenge in environmental evidence syntheses is that these remain predominantly monolingual...
Position statement on artificial intelligence (AI) use in evidence synthesis across Cochrane, the Campbell Collaboration, JBI and the Collaboration for Environmental Evidence 2025 [0.03%]
关于人工智能在证据综合中的应用的立场文件（2025年）——考克伦、坎贝尔合作组织、JBI及环境证据协作项目联合发布
Ella Flemyng,Anna Noel-Storr,Biljana Macura et al.
Ella Flemyng et al.
1. Evidence synthesists are ultimately responsible for their evidence synthesis, including the decision to use artificial intelligence (AI) and automation, and to ensure adherence to legal and ethical standards. 2. Coc...
Advocating for trust in and trustworthy AI to transform evidence synthesis [0.03%]
倡导可信人工智能以转型证据综合技术
Isabel K Fletcher
Isabel K Fletcher
The global demand for high-quality, robust and up-to-date evidence to guide decision-making has never been higher. The vast quantity of scientific literature being produced and made accessible presents an unparalleled opportunity for eviden...