Coupling geometric morphometrics and machine learning for mandibular sex estimation in Late Pleistocene and Late Modern populations

Abstract Accurate sex estimation is crucial for studying both modern and ancient human populations, yet methods are often limited to well-preserved skeletons. Here, we combine Geometric Morphometrics (GM) and Machine Learning (ML) to assess mandibular sexual dimorphism and classify sex across a wide