Quality Recognition Model (QRM) is a SVM-based Machine Learning supervised classification model that assigns label to the evidentiary documents on the basis of rigorousness of the contents. It assigns the label Rigor if the document is of quality otherwise assigns the Non-Rigor. It uses two type of features: data and metadata. Data features include title and abstract while the metadata features include MeSH terms and publication type.