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Neural networks are now included as a calibration method alongside forest and rainforest models. In addition to this, users have more control over the type of model used, depending on the model type. A number of other minor improvements are included. Calibration progress can be tracked. It is also possible to load existing .quant files without having to regenerate them, though this can be overridden by the user. Each model type is now siloed away for quick switching back and forth. And changes to the model design for machine learning models must be committed prior to a run. Finally, plots can be generated with different sizes.
| 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). | 2 | |
| 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 |
| views | 8 |

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