The article discusses how to accurately evaluate polynomial regression models without intercepts, commonly used for fitting curves in scientific data analysis. Traditional methods like the coefficient of determination may not work well in these cases. The researchers explore new criteria for assessing the quality of these models, crucial for automated parameter evaluation in measuring channels.