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In the prediction step, we use the same pipeline to construct the unlabeled feature instances from the BC5 test set, then predict their classes (i.e. whether there is a CID relationship) using the learned model.
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Douglas Farah, a former investigative journalist who now studies crime and terrorism at the International Assessment and Strategy Center, a research institution in Alexandria, Va., testified that criminal organizations and terrorists "use the same pipelines, the same illicit structures and exploit the same state weaknesses".
We submitted five runs for the CEM subtask, each using the same pipeline, but with different values for the cost parameter in the CRF model [12, 14].
In our post-challenge improved system, we reobtained five runs for the CEM subtask, each using the same pipeline as official submissions, but with different features sets (Table 5).
It has been shown that since we used the same pipeline for the transmitted/received data (out of the STC), the FPGA is efficiently utilized at the expenses of larger buffers (data vectors are processed concatenated).
The data in [15] were analyzed using the same pipeline described above for our data; binding sites were identified using an adjusted p-value of 10−4.
The sub gene-families were then analyzed using the same pipeline as used for synthetic analysis.
The CS distributions were obtained for the yeast proteome using the same pipeline.
For the H6 and SP3B assemblies, we performed gene prediction using the same pipeline (Table 1).
Our study uses the same pipeline for the entire analysis of rhythmic gene expression.
All reads were processed using the same pipeline as for all biological RNA-seq data.
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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