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<p dir="auto" class="">Dear community,</p>

<p dir="auto" class="">As of today, I have received <span style="font-style: normal;" class="">

N = 82</span> answers from the <a href="https://forms.gle/hjzWVemM4Jy9cBbZ9" rel="nofollow" class="">

google form</a> (out of them, <i class="">79</i> are valid) out of the <span style="font-style: normal;" class="">

881</span><i class=""> </i>submitted abstracts. In short, the total score is simply the linear sum of the scores relatively weighted by the confidence levels (as stated in the email we received from the chairs) and the threshold is close to 6.05 this year:</p>

<p dir="auto" class=""><a target="_blank" rel="noopener noreferrer" href="https://github.com/laurentperrinet/2022-02-11_COSYNE-scoresheet/blob/main/2022-02-11_COSYNE-razor.png" class=""><img src="https://github.com/laurentperrinet/2022-02-11_COSYNE-scoresheet/raw/main/2022-02-11_COSYNE-razor.png" alt="2022-02-11_COSYNE-razor" style="max-width: 100%;" class=""></a></p>

<p dir="auto" class="">More details in the <a href="https://github.com/laurentperrinet/2022-02-11_COSYNE-scoresheet/blob/main/2022-02-11_COSYNE-scoresheet.ipynb" class="">

notebook</a> (or directly in this <a href="https://laurentperrinet.github.io/sciblog/posts/2022-02-11-cosyne-reviewer-feedback.html" rel="nofollow" class="">

post</a>) which can also be <a href="https://github.com/laurentperrinet/2022-02-11_COSYNE-scoresheet" class="">

forked here</a> and <a href="https://mybinder.org/v2/gh/laurentperrinet/2022-02-11_COSYNE-scoresheet/main?labpath=2022-02-11_COSYNE-scoresheet.ipynb" rel="nofollow" class="">

interactively modified on binder</a>.</p>

<p dir="auto" class="">cheers,</p>

<div>Laurent</div>

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-- <br class="">

Laurent Perrinet - INT (UMR 7289) AMU/CNRS<br class="">

<a href="https://laurentperrinet.github.io/" class="">https://laurentperrinet.github.io/</a></div>

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<div class="">On 4 Feb 2022, at 09:19, PERRINET Laurent <<a href="mailto:laurent.perrinet@univ-amu.fr" class="">laurent.perrinet@univ-amu.fr</a>> wrote:</div>

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Dear community

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<div class="">COSYNE is a great conference which plays a pivotal role in our field. Raw numbers we were given are</div>

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<div class=""><span style="orphans: 2; widows: 2;" class="">* 881 submitted abstracts</span></div>

<div class=""><span style="orphans: 2; widows: 2;" class="">* 215 independent </span><span style="orphans: 2; widows: 2;" class="">reviewers</span></div>

<div class=""><span style="orphans: 2; widows: 2;" class="">*</span><span style="orphans: 2; widows: 2;" class=""> 2639 reviews</span></div>

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<div class="">If you have submitted an abstract (or several) you have recently received your scores. </div>

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<div class="">I am not affiliated to COSYNE - yet I would like to contribute in some way and would like to ask one minute of your time to report the raw scores from your reviewers: </div>

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<div class=""><span class="Apple-tab-span" style="white-space:pre"></span><a href="https://forms.gle/p7eG1p6dJAkr4Cyg7" class="">https://forms.gle/p7eG1p6dJAkr4Cyg7</a></div>

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<div class="">(Do one form per abstract.)</div>

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<div class="">For this crowd-sourcing effort to have a most positive impact, I will share the results and summarize in a few lines them in one week time (11/02). The more numerous your feedbacks, the higher the precision of results!</div>

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<div class="">Thanks in advance for your action,</div>

<div class="">Laurent</div>

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</span></div>

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</span></div>

<div class=""><span style="orphans: 2; widows: 2;" class="">PS: if any similar initiative already exists, I'll be more than willing to receive feedback</span></div>

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-- <br class="">

Laurent Perrinet - INT (UMR 7289) AMU/CNRS<br class="">

<a href="https://laurentperrinet.github.io/" class="">https://laurentperrinet.github.io/</a></div>

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