Because the models are trained on thousands of spectra, heuristics which correlate peak location and nearest-neighbor distance may be found that are applicable for diverse transition metal oxide (TMO) structures. Models can hone in on physics-based spectral trends discernible to the human eye while also using information from the rest of the spectrum, such as pre-edge linear and constant trends for Cr being important alongside post-edge trends.