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Automatically Finding and Categorizing Replication Studies
November 25, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Bob de Ruiter
arXiv ID
2311.15055
Category
cs.DL: Digital Libraries
Cross-listed
cs.CL
Citations
0
Venue
arXiv.org
Last Checked
3 months ago
Abstract
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).
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