Published June 5, 2026 | Version v1
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Investigating the Multi-Scale Reproducibility of GeoAI Models for Urban Perception: Prediction and Metadata Packages

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This record provides the prediction and derived metadata packages accompanying the SIGSPATIAL study on multi-scale reproducibility of GeoAI models for urban perception. It includes per-seed test predictions for 328 reported training runs and derived metadata used for scale-sensitive stability analysis, source decomposition, ensembling evaluation, multi-split robustness checks, and ICC robustness checks. Raw Place Pulse 2.0 imagery is not redistributed.

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