Figshare
open access
CC BY 4.0
Global flood research patterns, disparities, and risk–attention mismatches revealed by large language models
biotechnologyfloodsgeneticslarge-language-modelsmicrobiologymolecular-biologyplant-biologyscience-policy
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Spatial interrelationships between flood risk and ecosystem services in the Beijing-Tianjin-Hebei region at multiple scales#669735
- Flood Risk Assessment in a Data-Scarce Tropical River Basin of the Global South: A Multi-Model Approach#279723
- A Scalable Entity-Based Framework for Auditing Bias in Large Language Models#1128546
- Georeferenced Addresses in Flood-Prone Areas by District in Germany, 2025#347963
- Anticipating the risks and benefits of counterfactual world simulation models#617142
Record · ID 253449
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive