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Antelman, K., Bakkalbasi, N., Goodman, D., et al. Evaluation of Algorithm Performance on Identifying OA, 2005. (Unpublished) [Report].
Citable URI:
http://hdl.handle.net/10760/7028
Files in This Item:
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| Evaluation_of__OA.pdf | | 177.82 kB | Adobe PDF | View/Open
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| Author(s): | Antelman, Kristin
Bakkalbasi, Nisa
Goodman, David
Hajjem, Chawki
Harnad, Stevan |
| Title: | Evaluation of Algorithm Performance on Identifying OA |
| Subjects: | B. Information use and sociology of information > BE. Information economics |
| Date: | 2005 |
| Abstract: | This is a signal-detection analysis of the accuracy of a robot in detecting open access (OA) articles (by checking by hand how many of the articles the robot tagged OA were really OA, and vice versa). We found that the robot significantly overcodes for OA. In our Biology sample, 40% of identified OA was in fact OA. In our Sociology sample, only 18% of identified OA was in fact OA. Missed OA was lower: 12% in Biology and 14% in Sociology. The sources of the error are impossible to determine from the present data, since the algorithm did not capture URL's for documents identified as OA. In conclusion, the robot is not yet performing at a desirable level, and future work may be needed to determine the causes, and improve the algorithm. |
| Keywords: | Open Access, "Open Access Advantage" |
| Country: | United States |
| Type: | Report |
| Rights: | http://eprints.rclis.org/copyright/ |
| Has commentary: | http://hdl.handle.net/10760/7029 |
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