
doi: 10.5281/zenodo.15699076 , 10.5281/zenodo.15000013 , 10.5281/zenodo.15720003 , 10.5281/zenodo.15000230 , 10.5281/zenodo.13626804 , 10.5281/zenodo.7550649 , 10.5281/zenodo.12570492 , 10.5281/zenodo.14999058 , 10.5281/zenodo.13842839 , 10.5281/zenodo.11103503 , 10.5281/zenodo.14794749 , 10.5281/zenodo.14198461
doi: 10.5281/zenodo.15699076 , 10.5281/zenodo.15000013 , 10.5281/zenodo.15720003 , 10.5281/zenodo.15000230 , 10.5281/zenodo.13626804 , 10.5281/zenodo.7550649 , 10.5281/zenodo.12570492 , 10.5281/zenodo.14999058 , 10.5281/zenodo.13842839 , 10.5281/zenodo.11103503 , 10.5281/zenodo.14794749 , 10.5281/zenodo.14198461
ASReviews' Makita (MAKe IT Automatic) is a workflow generator for simulation studies using the command line interface of ASReview LAB. Makita can be used to effortlessly generate the framework and code for your simulation study. A simulation involves mimicking the screening process for a systematic review of a human in interaction with an Active learning model (i.e., a combination of a feature extractor, classifier, balancing method, and query strategy). The simulation reenacts the screening process as if a researcher were using active learning. The performance of one or multiple model(s) can then be measured by performance metrics, such as the Work Saved over Sampling, recall at a given point in the screening process, or the average time to discover a relevant record. Using Makita templates, different study structures can be generated to fit the needs of your very own study. If your study requires a unique template, you can create a new one and use it instead.
If you use this software, please cite it using the metadata from this file.
systematic-review, machine-learning, active-learning, template, simulation, asreview
systematic-review, machine-learning, active-learning, template, simulation, asreview
| 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 |
