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evaluation/badges.html

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<p><em>Caveat: Please note that these criteria are based on available information about each badge online, and that we have likely differences in our procedure (e.g.&nbsp;allowed troubleshooting for execution and reproduction, not under tight time pressure to complete). Moreover, we focus only on reproduction of the discrete-event simulation, and not on other aspects of the article. We cannot guarantee that the badges below would have been awarded in practice by these journals.</em></p>
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<section id="criteria" class="level2">
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<h2 class="anchored" data-anchor-id="criteria">Criteria</h2>
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<details class="code-fold">
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<summary>Code</summary>
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<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> IPython.display <span class="im">import</span> display, Markdown</span>
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<h2 class="anchored" data-anchor-id="badges">Badges</h2>
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<summary>Code</summary>
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<div class="sourceCode cell-code" id="cb2"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Full badge names</span></span>

evaluation/logbook.html

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<div class="list quarto-listing-default">
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<div class="quarto-post image-right" data-index="0" data-categories="compendium" data-listing-date-sort="1717977600000" data-listing-file-modified-sort="1718033271863" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="2" data-listing-word-count-sort="260">
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<div class="quarto-post image-right" data-index="0" data-categories="compendium" data-listing-date-sort="1717977600000" data-listing-file-modified-sort="1718035150889" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="2" data-listing-word-count-sort="260">
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<div class="listing-item-img-placeholder card-img-top" >&nbsp;</div>
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<div class="quarto-post image-right" data-index="1" data-categories="report,compendium" data-listing-date-sort="1717718400000" data-listing-file-modified-sort="1718033271863" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="1" data-listing-word-count-sort="141">
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<div class="quarto-post image-right" data-index="1" data-categories="report,compendium" data-listing-date-sort="1717718400000" data-listing-file-modified-sort="1718035150889" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="1" data-listing-word-count-sort="141">
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<div class="quarto-post image-right" data-index="2" data-categories="guidelines" data-listing-date-sort="1717545600000" data-listing-file-modified-sort="1718033271859" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="8" data-listing-word-count-sort="1439">
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<div class="quarto-post image-right" data-index="2" data-categories="guidelines" data-listing-date-sort="1717545600000" data-listing-file-modified-sort="1718035150889" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="8" data-listing-word-count-sort="1439">
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<div class="quarto-post image-right" data-index="3" data-categories="guidelines" data-listing-date-sort="1717459200000" data-listing-file-modified-sort="1718035150889" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="4" data-listing-word-count-sort="696">
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<p><a href="../evaluation/posts/2024_06_04/index.html" class="no-external"></a></p><a href="../evaluation/posts/2024_06_04/index.html" class="no-external">
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<p class="card-img-top"><img src="../original_study/article_fig2.png" class="thumbnail-image card-img"/></p>
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<p class="card-img-top"><img src="../original_study/article_fig1.png" class="thumbnail-image card-img"/></p>

evaluation/posts/2024_05_22/index.html

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<h2 class="anchored" data-anchor-id="timings">Timings</h2>
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<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> sys</span>
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<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>sys.path.append(<span class="st">'../'</span>)</span>
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<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> timings <span class="im">import</span> calculate_times</span>

evaluation/posts/2024_05_23/index.html

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<h2 class="anchored" data-anchor-id="timings">Timings</h2>
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<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> sys</span>
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<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> timings <span class="im">import</span> calculate_times</span>

evaluation/posts/2024_05_24/index.html

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<p>Exploring methods for overlaying figures. Not timed as not about reproduction of this study, but about how we are going to do this each time when reproducing.</p>
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<p>Decided that it’s not helpful to do this - spend more time fiddling around with getting them to resize and overlay correctly - and that the simplest option here would be to compare by eye.</p>
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<p>If timed, 13.33-13.57.</p>
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<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> cv2</span>
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<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> matplotlib.pyplot <span class="im">as</span> plt</span>
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<div class="sourceCode cell-code" id="cb2"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Overlay transparently</span></span>
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<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>combined <span class="op">=</span> cv2.addWeighted(original,<span class="fl">0.4</span>,overlay_resize,<span class="fl">0.1</span>,<span class="dv">0</span>)</span>
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<h2 class="anchored" data-anchor-id="timings">Timings</h2>
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<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> sys</span>
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<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> timings <span class="im">import</span> calculate_times</span>

evaluation/posts/2024_06_03/index.html

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<h2 class="anchored" data-anchor-id="timings">Timings</h2>
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<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> sys</span>
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<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> timings <span class="im">import</span> calculate_times</span>

evaluation/posts/2024_06_05/index.html

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<h3 class="anchored" data-anchor-id="comparing-best-practice-audit-results-with-monks-and-harper">Comparing best practice audit results with Monks and Harper</h3>
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<p>Compared my decisions for the best practice audit against those made in Monks and Harper.</p>
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<p>Their GitHub is <a href="https://github.com/TomMonks/des_sharing_lit_review">TomMonks/des_sharing_lit_review</a>, which provides the file <code>bp_audit.zip</code>. I used the provided code to clean this and saved it as <code>bp_audit_clean.csv</code>, which can then view here:</p>
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<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> pandas <span class="im">as</span> pd</span>
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<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a></span>
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<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co"># Import review results</span></span>

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