Gradient attribution from differentiable AI weather models acts as a calibrated, near-optimal but gaming-vulnerable signal for allocating rewards based on data value in participatory weather sensing.
How useful are crowdsourced air temperature observations? An assessment of Netatmo stations and quality control schemes over the United Kingdom
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Calibrating Attribution Proxies for Reward Allocation in Participatory Weather Sensing
Gradient attribution from differentiable AI weather models acts as a calibrated, near-optimal but gaming-vulnerable signal for allocating rewards based on data value in participatory weather sensing.