timprove caption for table of results - cosmo - front and backend for Markov-Chain Monte Carlo inversion of cosmogenic nuclide concentrations
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       ---
 (DIR) commit 8ccffb750649b98adffdad5c2925c6e06fd26510
 (DIR) parent c94d844841e0d04384f1e61b0c779337d7efbf8f
 (HTM) Author: Anders Damsgaard <anders.damsgaard@geo.au.dk>
       Date:   Thu, 19 Nov 2015 12:37:06 +0100
       
       improve caption for table of results
       
       Diffstat:
         M index.php                           |      19 +++++++++++++++++--
       
       1 file changed, 17 insertions(+), 2 deletions(-)
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 (DIR) diff --git a/index.php b/index.php
       t@@ -130,8 +130,23 @@ if (isset($_GET['wait_id']) && !empty($_GET['wait_id'])) {
                          <div class="card-content">
                              <h5 class="blue-text">
                                  Results</h5>
       -                      <p>The table shows the general statistical results of the
       -                      Markov-Chain Monte-Carlo inversion.</p>
       +                      <p>The table shows the general statistical results of
       +                      interglacial erosion rate (&epsilon;<sub>int</sub>),
       +                      glacial erosion rate (&epsilon;<sub>gla</sub>), climate
       +                      record threshold value
       +                      (&delta;<sup>18</sup>O<sub>threshold</sub>), and total
       +                      erosion (E), produced the Markov-Chain Monte-Carlo
       +                      inversion. Results are displayed per walker and on
       +                      average. The 50th percentiles (also called second
       +                      quartile) denote the median parameter value. The 25th
       +                      percentiles (first quartile) marks the value that splits
       +                      the lowest 25% percent of data from the highest 75%.
       +                      The 75th percentiles mark the limit to the upper 25% of
       +                      data. If the 25th, 50th, and 75th percentile values for a
       +                      parameter are close, the parameter is well constrained. If
       +                      a specific percentile value shows high variability for a
       +                      parameter, there may be several values which fit the
       +                      solution.</p>
        
                          </div>
                        </div>