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    <div id="Basic echo-wise reports" class="mt-5">
    <h1 class="sub-report-title pt-5 ps-4">Basic echo-wise reports</h1>
        <div id="datatype-figures_desc-stdev_echo-1_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">1</span>.</h2><h3 class="run-title mt-3">Standard deviation of signal through time</h3><p class="elem-caption">The voxel-wise standard deviation of the signal (variability along time).</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-1_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-1_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-1_desc-stdev_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-background_echo-1_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">View of the background of the voxel-wise average of the BOLD timeseries</h3><p class="elem-caption">This panel shows a mosaic enhancing the background around the head. Artifacts usually unveil themselves in the air surrounding the head, where no signal sources are present.</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-1_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-1_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-1_desc-background_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-zoomed_echo-1_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Voxel-wise average of BOLD time-series, zoomed-in covering just the brain</h3><p class="elem-caption">This panel shows a mosaic of the brain. This mosaic is the most suitable to screen head-motion intensity inhomogeneities, global/local noise, signal leakage (for example, from the eyeballs and across the phase-encoding axis), etc.</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-1_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-1_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-1_desc-zoomed_bold.svg</a></small>

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        <div id="datatype-figures_desc-carpet_echo-1_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Carpetplot and nuisance signals</h3><p class="elem-caption">The so-called &laquo;carpetplot&raquo; may assist in assessing head-motion derived artifacts and respiation effects.</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-1_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-1_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-1_desc-carpet_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-stdev_echo-2_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">2</span>.</h2><h3 class="run-title mt-3">Standard deviation of signal through time</h3><p class="elem-caption">The voxel-wise standard deviation of the signal (variability along time).</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-2_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-2_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-2_desc-stdev_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-background_echo-2_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">View of the background of the voxel-wise average of the BOLD timeseries</h3><p class="elem-caption">This panel shows a mosaic enhancing the background around the head. Artifacts usually unveil themselves in the air surrounding the head, where no signal sources are present.</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-2_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-2_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-2_desc-background_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-zoomed_echo-2_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Voxel-wise average of BOLD time-series, zoomed-in covering just the brain</h3><p class="elem-caption">This panel shows a mosaic of the brain. This mosaic is the most suitable to screen head-motion intensity inhomogeneities, global/local noise, signal leakage (for example, from the eyeballs and across the phase-encoding axis), etc.</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-2_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-2_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-2_desc-zoomed_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-carpet_echo-2_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Carpetplot and nuisance signals</h3><p class="elem-caption">The so-called &laquo;carpetplot&raquo; may assist in assessing head-motion derived artifacts and respiation effects.</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-2_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-2_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-2_desc-carpet_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-stdev_echo-3_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">3</span>.</h2><h3 class="run-title mt-3">Standard deviation of signal through time</h3><p class="elem-caption">The voxel-wise standard deviation of the signal (variability along time).</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-3_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-3_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-3_desc-stdev_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-background_echo-3_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">View of the background of the voxel-wise average of the BOLD timeseries</h3><p class="elem-caption">This panel shows a mosaic enhancing the background around the head. Artifacts usually unveil themselves in the air surrounding the head, where no signal sources are present.</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-3_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-3_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-3_desc-background_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-zoomed_echo-3_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Voxel-wise average of BOLD time-series, zoomed-in covering just the brain</h3><p class="elem-caption">This panel shows a mosaic of the brain. This mosaic is the most suitable to screen head-motion intensity inhomogeneities, global/local noise, signal leakage (for example, from the eyeballs and across the phase-encoding axis), etc.</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-3_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-3_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-3_desc-zoomed_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-carpet_echo-3_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Carpetplot and nuisance signals</h3><p class="elem-caption">The so-called &laquo;carpetplot&raquo; may assist in assessing head-motion derived artifacts and respiation effects.</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-3_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-3_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-3_desc-carpet_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-stdev_echo-4_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">4</span>.</h2><h3 class="run-title mt-3">Standard deviation of signal through time</h3><p class="elem-caption">The voxel-wise standard deviation of the signal (variability along time).</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-4_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-4_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-4_desc-stdev_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-background_echo-4_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">View of the background of the voxel-wise average of the BOLD timeseries</h3><p class="elem-caption">This panel shows a mosaic enhancing the background around the head. Artifacts usually unveil themselves in the air surrounding the head, where no signal sources are present.</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-4_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-4_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-4_desc-background_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-zoomed_echo-4_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Voxel-wise average of BOLD time-series, zoomed-in covering just the brain</h3><p class="elem-caption">This panel shows a mosaic of the brain. This mosaic is the most suitable to screen head-motion intensity inhomogeneities, global/local noise, signal leakage (for example, from the eyeballs and across the phase-encoding axis), etc.</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-4_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-4_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-4_desc-zoomed_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-carpet_echo-4_session-pilot004_subject-001_suffix-bold_task-qct" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Carpetplot and nuisance signals</h3><p class="elem-caption">The so-called &laquo;carpetplot&raquo; may assist in assessing head-motion derived artifacts and respiation effects.</p>                    <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-4_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-pilot004_task-qct_echo-4_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-pilot004_task-qct_echo-4_desc-carpet_bold.svg</a></small>

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<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">1</span>.</h2><h3 class="run-title mt-3">Voxel-wise average of BOLD time-series</h3><p class="elem-caption">The average signal calculated across the last axis (time).</p>                    <div class="reportlet">
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<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">2</span>.</h2><h3 class="run-title mt-3">Voxel-wise average of BOLD time-series</h3><p class="elem-caption">The average signal calculated across the last axis (time).</p>                    <div class="reportlet">
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<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">3</span>.</h2><h3 class="run-title mt-3">Voxel-wise average of BOLD time-series</h3><p class="elem-caption">The average signal calculated across the last axis (time).</p>                    <div class="reportlet">
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<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">4</span>.</h2><h3 class="run-title mt-3">Voxel-wise average of BOLD time-series</h3><p class="elem-caption">The average signal calculated across the last axis (time).</p>                    <div class="reportlet">
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<h3 class="run-title mt-3">Brain extraction performance</h3><p class="elem-caption">Brain mask as internally extracted by MRIQC. Defects on the brainmask could indicate problematic aspects of the image quality-wise.</p>                    <div class="reportlet">
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<h3 class="run-title mt-3">Spatial normalization of the anatomical image</h3><p class="elem-caption">This panel shows a <em>quick-and-dirty</em> nonlinear registration into the <code>MNI152NLin2009cAsym</code> template accessed with <a href="https://templateflow.org/browse" target="_blank"><em>TemplateFlow</em></a>.</p>                    <div class="reportlet">
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<tr><td colspan=2>Execution environment</td><td>singularity</td></tr>
<tr><td colspan=2>Input filename</td><td><BIDS root>/sub-001/ses-pilot004/func/sub-001_ses-pilot004_task-qct_echo-1_bold.nii.gz</td></tr>
<tr><td>Versions</td><td>MRIQC</td><td>24.1.0.dev0+g3fe90466.d20240417</td></tr>
<tr><td>Versions</td><td>NiPype</td><td>1.8.6</td></tr>
<tr><td>Versions</td><td>TemplateFlow</td><td>24.2.0</td></tr>
<tr><td colspan=2>md5sum</td><td>cfdafc19a19fccd6c728b36dc58586d1</td></tr>
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<tr><td>AcquisitionDuration</td><td>265.442</td></tr>
<tr><td>AcquisitionMatrixPE</td><td>108</td></tr>
<tr><td>AcquisitionTime</td><td>15:14:21.812500</td></tr>
<tr><td>B0FieldSource</td><td>['pilot004pepolarbold', 'pilot004phasediff']</td></tr>
<tr><td>BandwidthPerPixelPhaseEncode</td><td>34.294</td></tr>
<tr><td>BaseResolution</td><td>108</td></tr>
<tr><td>DerivedVendorReportedEchoSpacing</td><td>0.000539993</td></tr>
<tr><td>DwellTime</td><td>2e-06</td></tr>
<tr><td>EchoNumber</td><td>1</td></tr>
<tr><td>EchoTime</td><td>0.0126</td></tr>
<tr><td>EchoTrainLength</td><td>40</td></tr>
<tr><td>EffectiveEchoSpacing</td><td>0.000269996</td></tr>
<tr><td>FlipAngle</td><td>90</td></tr>
<tr><td>ImageOrientationPatientDICOM</td><td>[0.999066, 0.0111462, 0.0417531, -0.0108114, 0.999908, -0.0082351]</td></tr>
<tr><td>ImageType</td><td>['ORIGINAL', 'PRIMARY', 'FMRI', 'NONE']</td></tr>
<tr><td>ImageTypeText</td><td>['ORIGINAL', 'PRIMARY', 'M', 'MB', 'TE1', 'DIS2D']</td></tr>
<tr><td>InPlanePhaseEncodingDirectionDICOM</td><td>COL</td></tr>
<tr><td>PercentPhaseFOV</td><td>100</td></tr>
<tr><td>PhaseEncodingDirection</td><td>j-</td></tr>
<tr><td>PixelBandwidth</td><td>2315</td></tr>
<tr><td>ProtocolName</td><td>cmrr_mbep2d_bold_me4_sms4</td></tr>
<tr><td>PulseSequenceName</td><td>epfid2d4_108</td></tr>
<tr><td>ReceiveCoilActiveElements</td><td>HC1-6</td></tr>
<tr><td>ReconMatrixPE</td><td>108</td></tr>
<tr><td>RefLinesPE</td><td>26</td></tr>
<tr><td>RepetitionTime</td><td>1.573</td></tr>
<tr><td>SequenceVariant</td><td>SK\SS</td></tr>
<tr><td>SeriesDescription</td><td>cmrr_mbep2d_bold_me4_sms4</td></tr>
<tr><td>SeriesNumber</td><td>37</td></tr>
<tr><td>ShimSetting</td><td>[8223, -5655, -6043, 646, -100, -141, -6, 42]</td></tr>
<tr><td>SliceThickness</td><td>2</td></tr>
<tr><td>SliceTiming</td><td>[0, 0.3325, 0.665, 0.9975, 1.33, 0.11, 0.445, 0.7775, 1.11, 1.4425, 0.2225, 0.555, 0.8875, 1.22, 0, 0.3325, 0.665, 0.9975, 1.33, 0.11, 0.445, 0.7775, 1.11, 1.4425, 0.2225, 0.555, 0.8875, 1.22, 0, 0.3325, 0.665, 0.9975, 1.33, 0.11, 0.445, 0.7775, 1.11, 1.4425, 0.2225, 0.555, 0.8875, 1.22, 0, 0.3325, 0.665, 0.9975, 1.33, 0.11, 0.445, 0.7775, 1.11, 1.4425, 0.2225, 0.555, 0.8875, 1.22]</td></tr>
<tr><td>SpacingBetweenSlices</td><td>2</td></tr>
<tr><td>TotalReadoutTime</td><td>0.0288896</td></tr>
<tr><td>TxRefAmp</td><td>251.192</td></tr>
<tr><td>WipMemBlock</td><td>85ca4343-ac91-417e-bf52-d9ac1f4f1e72||Sequence: R017 nxva30a/master r/d34922cc2+; Jun 27 2022 13:20:16 by eja</td></tr>
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<tr><td colspan=3>aor</td><td>[0.0009212000000000002, 0.0008650666666666666, 0.0007616000000000002, 0.0009750666666666667]</td></tr>
<tr><td colspan=3>aqi</td><td>[0.006528717666666666, 0.007993035199999998, 0.012994370000000002, 0.02463494]</td></tr>
<tr><td colspan=3>dummy_trs</td><td>0</td></tr>
<tr><td>dvars</td><td colspan=2>nstd</td><td>35.76570619677855</td></tr>
<tr><td>dvars</td><td colspan=2>std</td><td>1.052228031812081</td></tr>
<tr><td>dvars</td><td colspan=2>vstd</td><td>1.014340993825503</td></tr>
<tr><td colspan=3>efc</td><td>0.5817</td></tr>
<tr><td colspan=3>fber</td><td>695.4005</td></tr>
<tr><td>fd</td><td colspan=2>mean</td><td>0.10295666612783164</td></tr>
<tr><td>fd</td><td colspan=2>num</td><td>18</td></tr>
<tr><td>fd</td><td colspan=2>perc</td><td>12.0</td></tr>
<tr><td>fwhm</td><td colspan=2>avg</td><td>3.52462</td></tr>
<tr><td>fwhm</td><td colspan=2>x</td><td>3.14532</td></tr>
<tr><td>fwhm</td><td colspan=2>y</td><td>3.71908</td></tr>
<tr><td>fwhm</td><td colspan=2>z</td><td>3.70946</td></tr>
<tr><td colspan=3>gcor</td><td>[0.00488234, 0.005902, 0.00501779, 0.00363065]</td></tr>
<tr><td>gsr</td><td colspan=2>x</td><td>0.0014519119868054986</td></tr>
<tr><td>gsr</td><td colspan=2>y</td><td>0.10899196565151215</td></tr>
<tr><td>size</td><td colspan=2>t</td><td>150</td></tr>
<tr><td>size</td><td colspan=2>x</td><td>108</td></tr>
<tr><td>size</td><td colspan=2>y</td><td>108</td></tr>
<tr><td>size</td><td colspan=2>z</td><td>56</td></tr>
<tr><td colspan=3>snr</td><td>2.723118952829157</td></tr>
<tr><td>spacing</td><td colspan=2>tr</td><td>1.5729999542236328</td></tr>
<tr><td>spacing</td><td colspan=2>x</td><td>2.0</td></tr>
<tr><td>spacing</td><td colspan=2>y</td><td>2.0</td></tr>
<tr><td>spacing</td><td colspan=2>z</td><td>2.0</td></tr>
<tr><td>summary</td><td>bg</td><td>k</td><td>9.3907</td></tr>
<tr><td>summary</td><td>bg</td><td>mad</td><td>18.3052</td></tr>
<tr><td>summary</td><td>bg</td><td>mean</td><td>127.3077</td></tr>
<tr><td>summary</td><td>bg</td><td>median</td><td>30.0</td></tr>
<tr><td>summary</td><td>bg</td><td>n</td><td>490298.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p05</td><td>1.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p95</td><td>695.0</td></tr>
<tr><td>summary</td><td>bg</td><td>stdv</td><td>238.8683</td></tr>
<tr><td>summary</td><td>fg</td><td>k</td><td>0.3127</td></tr>
<tr><td>summary</td><td>fg</td><td>mad</td><td>283.9282</td></tr>
<tr><td>summary</td><td>fg</td><td>mean</td><td>825.2263</td></tr>
<tr><td>summary</td><td>fg</td><td>median</td><td>797.0</td></tr>
<tr><td>summary</td><td>fg</td><td>n</td><td>162886.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p05</td><td>403.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p95</td><td>1346.0</td></tr>
<tr><td>summary</td><td>fg</td><td>stdv</td><td>292.6782</td></tr>
<tr><td colspan=3>tsnr</td><td>39.74854335235432</td></tr>
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        </div>

        <p style="margin-top: 20px; font-weight: bold">Rater confidence</p>
        <input type="range" min="0.0" max="4.0" step="0.05" value="3.5" id="qcextra-confidence" class="slider" style="margin-left: 22%;width: 56%;">
        <ul class="list-group list-group-horizontal slider-labels" style="width: 100%">
            <li class="list-group-item list-group-item-warning small" style="width: 50%; text-align:center">Doubtful</li>
            <li class="list-group-item list-group-item-success bg-success text-white small" style="width: 50%; text-align:center">Confident</li>
        </ul>
       </div> <!-- accordion-body -->
    </div> <!-- accordion-collapse -->
  </div> <!-- accordion-item -->
</div>
<div style="margin-top: 10px">
<a class="btn btn-primary disabled" id="btn-download" href="">Download</a>
</div>
<script type="text/javascript">
var MINIMUM_RATING_TIME = 10
$('#qcslider').on('input', function() {

    if ( (Date.now() - timestamp) / 1000 > MINIMUM_RATING_TIME) {
        $('#btn-download').removeClass('disabled');
        $('#btn-download').removeAttr('aria-disabled');
        $('#btn-post').removeAttr('disabled');
    };

    $('#qcslider-collapse .list-group-item').removeClass(function(index, classname) {
        return (classname.match(/(^|\s)bg-\S+/g) || []).join(' ');
    });
    $('#qcslider-collapse .list-group-item').removeClass(function(index, classname) {
        return (classname.match(/(^|\s)text-\S+/g) || []).join(' ');
    });

    if ( $(this).val() < 1.5 ) {
        $('#qcslider-collapse .list-group-item-danger').addClass('bg-danger text-white');
    } else if ( $(this).val() > 3.5 ) {
        $('#qcslider-collapse .list-group-item-success').addClass('bg-success text-white');
    } else if ( $(this).val() < 2.5 ) {
        $('#qcslider-collapse .list-group-item-warning').addClass('bg-warning text-dark');
    } else {
        $('#qcslider-collapse .list-group-item-primary').addClass('bg-primary text-white');
    };

    var payload = read_form();
});

$('#qcextra-confidence').on('input', function() {
    if ( (Date.now() - timestamp) / 1000 > MINIMUM_RATING_TIME) {
        $('#btn-download').removeClass('disabled');
        $('#btn-download').removeAttr('aria-disabled');
        $('#btn-post').removeAttr('disabled');
    };

    $('#qcextra-collapse .list-group-item').removeClass(function(index, classname) {
        return (classname.match(/(^|\s)bg-\S+/g) || []).join(' ');
    });
    $('#qcextra-collapse .list-group-item').removeClass(function(index, classname) {
        return (classname.match(/(^|\s)text-\S+/g) || []).join(' ');
    });

    if ( $(this).val() < 2.0 ) {
        $('#qcextra-collapse .list-group-item-warning').addClass('bg-warning text-dark');
    } else {
        $('#qcextra-collapse .list-group-item-success').addClass('bg-success text-white');
    };

    var payload = read_form();
});


$('#qcextra-comments').bind('input propertychange', function() {
    if ( (Date.now() - timestamp) / 1000 > MINIMUM_RATING_TIME) {
        $('#btn-download').removeClass('disabled');
        $('#btn-download').removeAttr('aria-disabled');
        $('#btn-post').removeAttr('disabled');
    };
});

$( '#btn-post' ).click( function() {
    var payload = read_form();
    var md5sum = "unspecified";
    var params = {
        'rating': payload['rating'],
        'md5sum': md5sum,
        'name': "",
        'comment': JSON.stringify(payload['artifacts'])
    };

    // disable development releases
    var authorization = $(this).val();
    var ratingReq = new XMLHttpRequest();
    ratingReq.open("POST", "https://mriqc.nimh.nih.gov:443/api/v1/rating");
    ratingReq.setRequestHeader("Content-Type", "application/json;charset=UTF-8");
    ratingReq.setRequestHeader("Authorization", authorization);
    ratingReq.onload = function () {
        status = ratingReq.status;
        $('#btn-post').removeClass('btn-primary');
        $('#btn-post').attr('disabled', true);
        $('#btn-post').attr('aria-disabled', true);
        $('#btn-post').prop('disabled');
        $('#btn-post').addClass('disabled');
        $('#btn-post').removeClass('active');
        if (status === "201") {
            $('#btn-post').addClass('btn-success');
            $('#btn-post').html('Posted!');
        } else {
            $('#btn-post').addClass('btn-danger');
            $('#btn-post').html('Failed');
        };
    };
    ratingReq.send(JSON.stringify(params));
});

$( 'body' ).on( 'click', '#qcartifacts-group input', function(e) {
    if ( (Date.now() - timestamp) / 1000 > MINIMUM_RATING_TIME) {
        $('#btn-download').removeClass('disabled');
        $('#btn-download').removeAttr('aria-disabled');
        $('#btn-post').removeAttr('disabled');
    };
    
    var payload = read_form();
});

$( 'body' ).on( 'click', '#qcrating-toggler', function(e) {
    toggle_rating();
});
</script>
</div>

<script type="text/javascript">
function toggle(id) {
    var element = document.getElementById(id);
    if(element.style.display == 'block')
        element.style.display = 'none';
    else
        element.style.display = 'block';
}
</script>
</body>
</html>