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LudvigOlsen/cvms: cvms 1.3.3

Authors: Ludvig Renbo Olsen; Daniel; Indrajeet Patil;

LudvigOlsen/cvms: cvms 1.3.3

Abstract

plot_confusion_matrix(): NEW: We created a Plot Confusion Matrix web application! It allows using plot_confusion_matrix() without code. Select from multiple design templates or make your own. For (palette=, sums_settings(palette=)) arguments, tile color palettes can now be a custom gradient. Simply supply a named list with hex colors for "low" and "high" (e.g. list("low"="#B1F9E8", "high"="#239895")). Adds intensity_by, intensity_lims, and intensity_beyond_lims arguments to sum_tile_settings() to allow setting them separately for sum tiles. Adds intensity_lims argument which allows setting a custom range for the tile color intensities. Makes it easier to compare plots for different prediction sets. Adds intensity_beyond_lims for specifying how to handle counts / percentages outside the specified intensity_lims. Default is to truncate the intensities. Fixes bug where arrow size was not taking add_sums into account.

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    influence
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download
citations
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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14