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Knowledge is analyzed and helpfulness scores of knowledge are calculated by using the cognitive information gain measurement model.
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Average Knowledge is calculated as the average skill with respect to the topics actually owned by agents.
All the correct answers were summed and specific and overall knowledge was calculated.
The accuracy of the prior knowledge is calculated using receiver operating characteristic (ROC) curves.
A distance between variables based on prior knowledge is calculated and added to the data based distance.
The composite score for HIV/AIDS knowledge was calculated by summing the number of correct answers, and a higher score indicates a higher level of HIV/AIDS knowledge.
The accuracy rate of hypertension-related knowledge was calculated as number of correctly answered items divided by total number of items for each physician.
Each correct response earned one point, whereas any wrong or don't know response attracted no mark and thus the sum score of knowledge was calculated (12 points).
Summary composite scores for knowledge were calculated by taking the average number of correct responses for each domain and then an overall average across the averages calculated for each of the 10 domains (mean of means).
✓ Knowledge: Knowledge questions were calculated after a number of questions were presented.
Moreover, the knowledge triangle efficiency indices are calculated, utilising the concept of actual and target inputs.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com