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Market
In which field will PaperQA2 be most cited by the end of 2024?
2
Resolution / Starting Odds
Biology • 25%
Chemistry • 25%
Physics • 25%
Other • 25%
Citation databases and scientific publications
Story
FutureHouseSF's Open Source PaperQA2 Surpasses PhD Researchers in Literature Reviews
Sep 11, 2024, 11:30 PM
PaperQA2, developed by FutureHouseSF, is the first AI agent to conduct entire scientific literature reviews autonomously. It has surpassed PhD and Postdoc-level biology researchers in multiple literature research tasks, achieving high accuracy on objective benchmarks. PaperQA2 is optimized for retrieving and summarizing scientific information, and its capabilities have been validated by independent tests. The open source AI-powered tool is claimed to achieve 'superhuman synthesis of scientific knowledge.' Another AI, SciAgents, has also demonstrated the ability to reveal hidden interdisciplinary relationships, achieving a level of precision and exploratory power beyond traditional human-driven research. PaperQA2 is supported by organizations like Cerebrum_DAO.
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Less than 50 • 25%
50-100 • 25%
101-200 • 25%
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MIT • 25%
Google • 25%
Microsoft • 25%
Other • 25%
A paper from Caltech • 25%
A paper from Northeastern University • 25%
A paper from Cursor AI • 25%
Other • 25%
Physics • 25%
Computer Science • 25%
Philosophy • 25%
No cross-field citations • 25%
Meta (Llama 3) • 25%
OpenAI (GPT-4o) • 25%
Anthropic (Claude 3.5 Sonnet) • 25%
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Less than 50 • 33%
50-100 • 33%
More than 100 • 34%
Nature • 25%
Science • 25%
IEEE Transactions on Computers • 25%
Other • 25%
Drug Discovery • 25%
Genomics • 25%
Structural Biology • 25%
Other • 25%
UCSF • 25%
Harvard • 25%
Johns Hopkins • 25%
Other • 25%
Biology • 25%
Physics • 25%
Chemistry • 25%
Computer Science • 25%