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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_direction-AP_echo-1_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-1_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-1_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-1_desc-stdev_bold.svg</a></small>

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        <div id="datatype-figures_desc-background_direction-AP_echo-1_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-1_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-1_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-1_desc-background_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-zoomed_direction-AP_echo-1_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-1_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-1_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-1_desc-zoomed_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-carpet_direction-AP_echo-1_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-1_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-1_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-1_desc-carpet_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-stdev_direction-AP_echo-2_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-2_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-2_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-2_desc-stdev_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-background_direction-AP_echo-2_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-2_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-2_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-2_desc-background_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-zoomed_direction-AP_echo-2_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-2_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-2_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-2_desc-zoomed_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-carpet_direction-AP_echo-2_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-2_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-2_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-2_desc-carpet_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-stdev_direction-AP_echo-3_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-3_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-3_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-3_desc-stdev_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-background_direction-AP_echo-3_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-3_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-3_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-3_desc-background_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-zoomed_direction-AP_echo-3_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-3_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-3_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-3_desc-zoomed_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-carpet_direction-AP_echo-3_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-3_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-3_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-3_desc-carpet_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-stdev_direction-AP_echo-4_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-4_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-4_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-4_desc-stdev_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-background_direction-AP_echo-4_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-4_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-4_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-4_desc-background_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-zoomed_direction-AP_echo-4_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-4_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-4_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-040_task-bht_dir-AP_echo-4_desc-zoomed_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-carpet_direction-AP_echo-4_session-040_subject-001_suffix-bold_task-bht" 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-040_task-bht_dir-AP_echo-4_desc-carpet_bold.svg" style="width: 100%" />
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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-040/func/sub-001_ses-040_task-bht_dir-AP_echo-1_part-mag_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>6b66a71cdb881cbb36d1c0b7cc47a095</td></tr>
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<tr><td>AcquisitionDuration</td><td>361.475</td></tr>
<tr><td>AcquisitionMatrixPE</td><td>96</td></tr>
<tr><td>AcquisitionTime</td><td>21:23:16.297500</td></tr>
<tr><td>B0FieldSource</td><td>['040pepolarbold', '040phasediff']</td></tr>
<tr><td>BandwidthPerPixelPhaseEncode</td><td>37.879</td></tr>
<tr><td>BaseResolution</td><td>96</td></tr>
<tr><td>DerivedVendorReportedEchoSpacing</td><td>0.000549997</td></tr>
<tr><td>DwellTime</td><td>2.3e-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>35</td></tr>
<tr><td>EffectiveEchoSpacing</td><td>0.000274998</td></tr>
<tr><td>ImageOrientationPatientDICOM</td><td>[0.998978, 0.00628303, 0.0447683, 0.0102873, 0.932719, -0.360457]</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>PercentSampling</td><td>100</td></tr>
<tr><td>PhaseEchoTime1</td><td>0.0126</td></tr>
<tr><td>PhaseEchoTime2</td><td>0.03304</td></tr>
<tr><td>PhaseEncodingDirection</td><td>j-</td></tr>
<tr><td>PhaseResolution</td><td>1</td></tr>
<tr><td>PixelBandwidth</td><td>2264</td></tr>
<tr><td>ProtocolName</td><td>func-bold_task-bht_dir-AP__cmrr_me4_sms4</td></tr>
<tr><td>PulseSequenceName</td><td>epfid2d4_96</td></tr>
<tr><td>ReceiveCoilActiveElements</td><td>HC1-7;NC1</td></tr>
<tr><td>ReconMatrixPE</td><td>96</td></tr>
<tr><td>RefLinesPE</td><td>22</td></tr>
<tr><td>RepetitionTime</td><td>1.6</td></tr>
<tr><td>SequenceVariant</td><td>SK\SS</td></tr>
<tr><td>SeriesDescription</td><td>func-bold_task-bht_dir-AP__cmrr_me4_sms4</td></tr>
<tr><td>SeriesNumber</td><td>25</td></tr>
<tr><td>ShimSetting</td><td>[8234, -5621, -6012, 658, -54, -213, 51, 7]</td></tr>
<tr><td>SliceThickness</td><td>2.2</td></tr>
<tr><td>SliceTiming</td><td>[0, 0.8425, 0.105, 0.9475, 0.21, 1.0525, 0.315, 1.1575, 0.42, 1.2625, 0.525, 1.3675, 0.63, 1.475, 0.7375, 0, 0.8425, 0.105, 0.9475, 0.21, 1.0525, 0.315, 1.1575, 0.42, 1.2625, 0.525, 1.3675, 0.63, 1.475, 0.7375, 0, 0.8425, 0.105, 0.9475, 0.21, 1.0525, 0.315, 1.1575, 0.42, 1.2625, 0.525, 1.3675, 0.63, 1.475, 0.7375, 0, 0.8425, 0.105, 0.9475, 0.21, 1.0525, 0.315, 1.1575, 0.42, 1.2625, 0.525, 1.3675, 0.63, 1.475, 0.7375]</td></tr>
<tr><td>SpacingBetweenSlices</td><td>2.2</td></tr>
<tr><td>TotalReadoutTime</td><td>0.0261249</td></tr>
<tr><td>TxRefAmp</td><td>240.69</td></tr>
<tr><td>WipMemBlock</td><td>0f08d066-df84-45ac-81ac-050ab883c0e9||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>[0.000547219512195122, 0.0005769756097560976, 0.000657512195121951, 0.0007952195121951219]</td></tr>
<tr><td colspan=3>aqi</td><td>[0.004502645170731707, 0.005761531804878048, 0.010497611121951219, 0.018684501951219512]</td></tr>
<tr><td colspan=3>dummy_trs</td><td>2</td></tr>
<tr><td>dvars</td><td colspan=2>nstd</td><td>27.276548516813712</td></tr>
<tr><td>dvars</td><td colspan=2>std</td><td>1.0278475014215689</td></tr>
<tr><td>dvars</td><td colspan=2>vstd</td><td>0.9950082124019607</td></tr>
<tr><td colspan=3>efc</td><td>0.5832</td></tr>
<tr><td colspan=3>fber</td><td>634.6511</td></tr>
<tr><td>fd</td><td colspan=2>mean</td><td>0.13950595273052172</td></tr>
<tr><td>fd</td><td colspan=2>num</td><td>43</td></tr>
<tr><td>fd</td><td colspan=2>perc</td><td>20.975609756097562</td></tr>
<tr><td>fwhm</td><td colspan=2>avg</td><td>3.390913169428592</td></tr>
<tr><td>fwhm</td><td colspan=2>x</td><td>3.042603800148502</td></tr>
<tr><td>fwhm</td><td colspan=2>y</td><td>3.4995312413739614</td></tr>
<tr><td>fwhm</td><td colspan=2>z</td><td>3.630604466763313</td></tr>
<tr><td colspan=3>gcor</td><td>[0.0289364, 0.0327895, 0.0303085, 0.0236936]</td></tr>
<tr><td>gsr</td><td colspan=2>x</td><td>0.0010555960470810533</td></tr>
<tr><td>gsr</td><td colspan=2>y</td><td>0.10445059835910797</td></tr>
<tr><td>size</td><td colspan=2>t</td><td>205</td></tr>
<tr><td>size</td><td colspan=2>x</td><td>96</td></tr>
<tr><td>size</td><td colspan=2>y</td><td>96</td></tr>
<tr><td>size</td><td colspan=2>z</td><td>60</td></tr>
<tr><td colspan=3>snr</td><td>2.6715120689404412</td></tr>
<tr><td>spacing</td><td colspan=2>tr</td><td>1.600000023841858</td></tr>
<tr><td>spacing</td><td colspan=2>x</td><td>2.197920083999634</td></tr>
<tr><td>spacing</td><td colspan=2>y</td><td>2.197920083999634</td></tr>
<tr><td>spacing</td><td colspan=2>z</td><td>2.200000047683716</td></tr>
<tr><td>summary</td><td>bg</td><td>k</td><td>9.8377</td></tr>
<tr><td>summary</td><td>bg</td><td>mad</td><td>18.9339</td></tr>
<tr><td>summary</td><td>bg</td><td>mean</td><td>123.021</td></tr>
<tr><td>summary</td><td>bg</td><td>median</td><td>31.0</td></tr>
<tr><td>summary</td><td>bg</td><td>n</td><td>418275.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p05</td><td>0.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p95</td><td>620.0</td></tr>
<tr><td>summary</td><td>bg</td><td>stdv</td><td>217.6634</td></tr>
<tr><td>summary</td><td>fg</td><td>k</td><td>0.5324</td></tr>
<tr><td>summary</td><td>fg</td><td>mad</td><td>270.5135</td></tr>
<tr><td>summary</td><td>fg</td><td>mean</td><td>811.3749</td></tr>
<tr><td>summary</td><td>fg</td><td>median</td><td>780.0</td></tr>
<tr><td>summary</td><td>fg</td><td>n</td><td>134685.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p05</td><td>387.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p95</td><td>1335.0</td></tr>
<tr><td>summary</td><td>fg</td><td>stdv</td><td>291.9684</td></tr>
<tr><td colspan=3>tsnr</td><td>49.45610545389354</td></tr>
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        $('#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>