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Cash assistance interventions show a remarkable Level-of-Evidence score of 0.865, indicating strong convergence in humanitarian outcomes.
Achieve trustworthy disaster severity scoring by fusing vision-language models with semantic alignment and chain-of-thought reasoning, enabling precise damage assessment from noisy social media data.
