Automatically Finding and Categorizing Replication Studies
–arXiv.org Artificial Intelligence
In many fields of experimental science, papers that failed to replicate continue to be cited as a result of the poor discoverability of replication studies. As a first step to creating a system that automatically finds replication studies for a given paper, 334 replication studies and 344 replicated studies were collected. Replication studies could be identified in the dataset based on text content at a higher rate than chance (AUROC = 0.886). Additionally, successful replication studies could be distinguished from failed replication studies at a higher rate than chance (AUROC = 0.664).
arXiv.org Artificial Intelligence
Nov-25-2023
- Country:
- North America > United States
- California > Santa Clara County > Palo Alto (0.05)
- Europe > Germany
- Lower Saxony > Gottingen (0.15)
- North America > United States
- Genre:
- Research Report (0.56)
- Technology: