To enhance the detection of machine-generated text, especially in challenging domains like PeerRead, additional linguistic features and techniques can be explored. One approach could involve incorporating discourse analysis features to capture the structural organization of texts. Features related to coherence, cohesion, and rhetorical relations can provide valuable insights into the differences between human-written and machine-generated texts. Furthermore, sentiment analysis features could be utilized to detect subtle emotional cues that may differ between human and machine-generated content in complex domains like PeerRead.