
doi: 10.5281/zenodo.13994062 , 10.5281/zenodo.14049843 , 10.5281/zenodo.13370980 , 10.5281/zenodo.13933538 , 10.5281/zenodo.13982384 , 10.5281/zenodo.17192891 , 10.5281/zenodo.11235943 , 10.5281/zenodo.14210230 , 10.5281/zenodo.11381747 , 10.5281/zenodo.13970138 , 10.5281/zenodo.11937859 , 10.5281/zenodo.17256323 , 10.5281/zenodo.18632189 , 10.5281/zenodo.13960541 , 10.5281/zenodo.17205886 , 10.5281/zenodo.13821361 , 10.5281/zenodo.17257455 , 10.5281/zenodo.15296951 , 10.5281/zenodo.18323606 , 10.5281/zenodo.17233701 , 10.5281/zenodo.17243897 , 10.5281/zenodo.13970020 , 10.5281/zenodo.14169072 , 10.5281/zenodo.13863938 , 10.5281/zenodo.15212370 , 10.5281/zenodo.13329337 , 10.5281/zenodo.11210796 , 10.5281/zenodo.18339165 , 10.5281/zenodo.18314650 , 10.5281/zenodo.12067697 , 10.5281/zenodo.14635501 , 10.5281/zenodo.11210797 , 10.5281/zenodo.15566015 , 10.5281/zenodo.17241078 , 10.5281/zenodo.13329320 , 10.5281/zenodo.13970066 , 10.5281/zenodo.14020313 , 10.5281/zenodo.15342254 , 10.5281/zenodo.17682053 , 10.5281/zenodo.14779796 , 10.5281/zenodo.13220660 , 10.5281/zenodo.15223084
doi: 10.5281/zenodo.13994062 , 10.5281/zenodo.14049843 , 10.5281/zenodo.13370980 , 10.5281/zenodo.13933538 , 10.5281/zenodo.13982384 , 10.5281/zenodo.17192891 , 10.5281/zenodo.11235943 , 10.5281/zenodo.14210230 , 10.5281/zenodo.11381747 , 10.5281/zenodo.13970138 , 10.5281/zenodo.11937859 , 10.5281/zenodo.17256323 , 10.5281/zenodo.18632189 , 10.5281/zenodo.13960541 , 10.5281/zenodo.17205886 , 10.5281/zenodo.13821361 , 10.5281/zenodo.17257455 , 10.5281/zenodo.15296951 , 10.5281/zenodo.18323606 , 10.5281/zenodo.17233701 , 10.5281/zenodo.17243897 , 10.5281/zenodo.13970020 , 10.5281/zenodo.14169072 , 10.5281/zenodo.13863938 , 10.5281/zenodo.15212370 , 10.5281/zenodo.13329337 , 10.5281/zenodo.11210796 , 10.5281/zenodo.18339165 , 10.5281/zenodo.18314650 , 10.5281/zenodo.12067697 , 10.5281/zenodo.14635501 , 10.5281/zenodo.11210797 , 10.5281/zenodo.15566015 , 10.5281/zenodo.17241078 , 10.5281/zenodo.13329320 , 10.5281/zenodo.13970066 , 10.5281/zenodo.14020313 , 10.5281/zenodo.15342254 , 10.5281/zenodo.17682053 , 10.5281/zenodo.14779796 , 10.5281/zenodo.13220660 , 10.5281/zenodo.15223084
prismAId leverages generative AI to optimize the extraction and management of data from scientific literature. It extracts a structured database of the specific information researchers seek from the literature. This tool is tailored to assist researchers by offering a simple-to-use, efficient, and replicable method for analyzing literature when conducting systematic reviews. No coding skills are required to use prismAId. By significantly reducing the time and effort needed for data collection and analysis, prismAId enhances research efficiency. Through the use of customized prompts, prismAId automates information extraction, ensuring high accuracy and reliability. By formalizing concepts and information extraction, prismAId allows for the first time ever 100% replicable systematic literature reviews. Most AI tools for systematic literature reviews focus on the literature search phase. While a few tools address the analysis phase, they do not fully leverage the capabilities of generative AI models. prismAId brings generative AI and Open Science where they matter most — in the analysis and data extraction phases.
v0.4.1 - added features: CoT justifications & duplication Added features: CoT justifications & duplication + testing, examples and documentation
https://open-and-sustainable.github.io/prismAId/
Large Language Model, Prompt Engineering, Open Source, Prisma 2020, Artificial intelligence, Open Science, AI Foundation Model, Natural language processing, Generative AI, Systematic Review, Systematic Literature Review
Large Language Model, Prompt Engineering, Open Source, Prisma 2020, Artificial intelligence, Open Science, AI Foundation Model, Natural language processing, Generative AI, Systematic Review, Systematic Literature Review
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
