Update README.md

README.md

@@ -22,7 +22,7 @@ We present the first **multi-label classification model** built on the ASJC taxo
   
 ## 🎯 Purpose
 Traditional ASJC classification approaches are limited by incomplete sources, journal-level labels, or single-label assignments. This project provides:  
-- **Multi-label classification across 307 subjects** (compare [google sheet](https://docs.google.com/spreadsheets/d/1kqmGk2x0msodbaKDYt2RixyyB3MqOGrWS2azRGNsodw) for all labels   
+- **Multi-label classification across 307 subjects** (compare [google sheet](https://docs.google.com/spreadsheets/d/1kqmGk2x0msodbaKDYt2RixyyB3MqOGrWS2azRGNsodw) for all labels)   
 - Fine-tuned **SciBERT model** trained on Crossref metadata  
 - Methods for **collection-level analysis** (researcher portfolios, institutions, datasets)