A Wilson-interval-guided Transformer forecasts city-level food safety risk one month ahead and improved detected violations from 9% to 11% in a 100-batch field trial.
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Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions
A Wilson-interval-guided Transformer forecasts city-level food safety risk one month ahead and improved detected violations from 9% to 11% in a 100-batch field trial.