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. 2016 Aug 19;2016:baw120. doi: 10.1093/database/baw120

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© The Author(s) 2016. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 6. — Snippets of the information displayed in a CEMP prediction analysis report. The report shows the distribution of true positives and false negatives per annotation type (A), and performance is described in terms of macro- and micro-averaged precision, recall and F-score statistics (B and C). The tool enables the exploration of prediction matches and mismatches in individual documents (D). Also, it enables the inspection of the most frequent misclassifications (E) and the documents with more mismatches (F).