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The repository is part of the so-called, Mega-Meta study on reviewing factors contributing to substance use, anxiety, and depressive disorders. The study protocol has been pre-registered at Prospero. The procedure for obtaining the search terms, the exact search query, and selecting key papers by expert consensus can be found on the Open Science Framework. The three datasets, one for each disorder, used for screening in ASReview and the partly labeled output datasets can be found on DANS[NEEDS LINK]. The current repository contains the post-processing scripts to: (1) Merge the three output files after screening in ASReview; (2) Obtain missing DOIs; (3) Apply another round of de-duplication (the first round of de-duplication was applied before the screening started); (4) Deal with noisy labels corrected in two rounds of quality checks. The scripts in the current repository result in one single dataset that can be used for future meta-analyses. The dataset itself is available on DANS[NEEDS LINK].
machine learning, systematic review, ASReview, active learning
machine learning, systematic review, ASReview, active learning
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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