# Project Analytics

Project Analytics displays information on the timeline of Abstract Screening and Full-Text Review based on the included and excluded articles, AI Recall, Classification Performance Metrics, and Conflict Resolution — Inter-Rater Reliability. AI Recall: The percentage of eligible articles in comparison to all eligible articles. Classification Performance Metrics: Also known as Confusion Matrix, this is a

Source: https://picoportal.org/docs/project-analytics/

<strong>Project Analytics</strong> displays information on the timeline of Abstract Screening and Full-Text Review based on the included and excluded articles, AI Recall, Classification Performance Metrics, and Conflict Resolution — Inter-Rater Reliability.

<b>AI Recall:</b> The percentage of eligible articles in comparison to all eligible articles.

<b>Classification Performance Metrics:</b> Also known as Confusion Matrix, this is a useful tool for measuring Recall, Precision, Specificity, and Accuracy.

<b>Conflict Resolution – Inter-Rater Reliability:</b> The extent to which two or more Reviewers agree. It addresses the issue of the consistency and the implementation of eligibility criteria.

To view <b>Project Analytics</b>, navigate to <b>Reports \> Project Analytics</b>. These analytics can be downloaded in the following formats:

  - PNG
  - JPEG
  - PDF

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