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Fisher's exact test for count data in R was used on count summaries generated for each marker allele pair: both alleles present, neither allele present, first allele present or second allele present.
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Summaries generated separately for the necropsy and skin assemblies were qualitatively very similar and are therefore not shown.
At training time, our model is directly trained on reference summaries generated by human, eliminating the need for sentence-level extractive labels.
Next, a brief narrative summary was generated for each interviewee.
Summary statistics generated for each foreground branch using a Branch-site test.
Branch numbers are labeled in Figure 7. Summary statistics generated for each foreground branch using a Branch-site test.
We invited them to view and comment on the summaries we had generated for their respective HEIs and compare and contrast them with other HEIs both within their national context and internationally through the MIT SIMILE software.
The result of this experiment in remote collaboration between Europe, USA, Japan and China, was a summary that was generated for the Holcim Forum workshop, "Reduce CO2 – With technology to zero emissions".
Summary statistics were generated for patient, intubation, and operator characteristics using Fisher's exact test for categorical variables, the Kruskal-Wallis test, and Student's T-test where appropriate.
For each group, summary statistics were generated for demographic and behavioral variables, as well as performance on fMRI task (percentage correct novel and familiar trials), and number of non-recorded responses.
Summary statistics were generated for patient, intubation and operator characteristics.
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