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Evidence-Gated Symbolic Correction for Data-Limited Geomechanical Models

Geomechanical models often retain systematic errors after calibration, but sparse observations may support several competing corrections. We present an evidence-gated symbolic regression framework that retains an existing baseline and evaluates explicit corrections using coefficient fitting, grouped validation, and physical checks.

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Earth & Space Sciences

Telescopes, satellites and sensors: the data of the planet and the sky.

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