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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-RL_echo-1_session-020_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-020_task-qct_dir-RL_echo-1_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-1_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-1_desc-stdev_bold.svg</a></small>

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        <div id="datatype-figures_desc-background_direction-RL_echo-1_session-020_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-020_task-qct_dir-RL_echo-1_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-1_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-1_desc-background_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-zoomed_direction-RL_echo-1_session-020_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-020_task-qct_dir-RL_echo-1_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-1_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-1_desc-zoomed_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-carpet_direction-RL_echo-1_session-020_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-020_task-qct_dir-RL_echo-1_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-1_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-1_desc-carpet_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-stdev_direction-RL_echo-2_session-020_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-020_task-qct_dir-RL_echo-2_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-2_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-2_desc-stdev_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-background_direction-RL_echo-2_session-020_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-020_task-qct_dir-RL_echo-2_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-2_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-2_desc-background_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-zoomed_direction-RL_echo-2_session-020_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-020_task-qct_dir-RL_echo-2_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-2_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-2_desc-zoomed_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-carpet_direction-RL_echo-2_session-020_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-020_task-qct_dir-RL_echo-2_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-2_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-2_desc-carpet_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-stdev_direction-RL_echo-3_session-020_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-020_task-qct_dir-RL_echo-3_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-3_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-3_desc-stdev_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-background_direction-RL_echo-3_session-020_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-020_task-qct_dir-RL_echo-3_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-3_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-3_desc-background_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-zoomed_direction-RL_echo-3_session-020_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-020_task-qct_dir-RL_echo-3_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-3_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-3_desc-zoomed_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-carpet_direction-RL_echo-3_session-020_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-020_task-qct_dir-RL_echo-3_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-3_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-3_desc-carpet_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-stdev_direction-RL_echo-4_session-020_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-020_task-qct_dir-RL_echo-4_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-4_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-4_desc-stdev_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-background_direction-RL_echo-4_session-020_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-020_task-qct_dir-RL_echo-4_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-4_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-4_desc-background_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-zoomed_direction-RL_echo-4_session-020_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-020_task-qct_dir-RL_echo-4_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-4_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-020_task-qct_dir-RL_echo-4_desc-zoomed_bold.svg</a></small>

        </div>
        <div id="datatype-figures_desc-carpet_direction-RL_echo-4_session-020_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">
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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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<h2 class="sub-report-group mt-4">Reproducibility and provenance information</h2><p class="elem-caption">Thanks for using <em>MRIQC</em>. The following information may assist in
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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-020/func/sub-001_ses-020_task-qct_dir-RL_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>e5825f301f1b9733d46e479cf31076b0</td></tr>
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<tr><td>AcquisitionDuration</td><td>188.475</td></tr>
<tr><td>AcquisitionMatrixPE</td><td>76</td></tr>
<tr><td>AcquisitionTime</td><td>20:00:46.027500</td></tr>
<tr><td>B0FieldSource</td><td>['020pepolarbold', '020phasediff']</td></tr>
<tr><td>BandwidthPerPixelPhaseEncode</td><td>40.486</td></tr>
<tr><td>BaseResolution</td><td>102</td></tr>
<tr><td>DerivedVendorReportedEchoSpacing</td><td>0.000649997</td></tr>
<tr><td>DwellTime</td><td>2.5e-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>28</td></tr>
<tr><td>EffectiveEchoSpacing</td><td>0.000324999</td></tr>
<tr><td>FlipAngle</td><td>64</td></tr>
<tr><td>ImageOrientationPatientDICOM</td><td>[0.998212, 0.00105708, 0.0597608, 0.0212582, 0.928188, -0.371503]</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>ROW</td></tr>
<tr><td>PercentPhaseFOV</td><td>74.5098</td></tr>
<tr><td>PhaseEchoTime1</td><td>0.0126</td></tr>
<tr><td>PhaseEchoTime2</td><td>0.0322</td></tr>
<tr><td>PhaseEncodingDirection</td><td>i</td></tr>
<tr><td>PixelBandwidth</td><td>1961</td></tr>
<tr><td>ProtocolName</td><td>func-bold_task-qct_dir-RL__cmrr_me4_sms4</td></tr>
<tr><td>PulseSequenceName</td><td>epfid2d4_76</td></tr>
<tr><td>ReceiveCoilActiveElements</td><td>HC1-7</td></tr>
<tr><td>ReconMatrixPE</td><td>76</td></tr>
<tr><td>RefLinesPE</td><td>18</td></tr>
<tr><td>RepetitionTime</td><td>1.6</td></tr>
<tr><td>SequenceVariant</td><td>SK\SS\OSP</td></tr>
<tr><td>SeriesDescription</td><td>func-bold_task-qct_dir-RL__cmrr_me4_sms4</td></tr>
<tr><td>SeriesNumber</td><td>13</td></tr>
<tr><td>ShimSetting</td><td>[8247, -5615, -6003, 663, -88, -199, 17, 16]</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, 1.055, 0.3175, 1.16, 0.4225, 1.265, 0.5275, 1.37, 0.6325, 1.475, 0.7375, 0, 0.8425, 0.105, 0.9475, 0.21, 1.055, 0.3175, 1.16, 0.4225, 1.265, 0.5275, 1.37, 0.6325, 1.475, 0.7375, 0, 0.8425, 0.105, 0.9475, 0.21, 1.055, 0.3175, 1.16, 0.4225, 1.265, 0.5275, 1.37, 0.6325, 1.475, 0.7375, 0, 0.8425, 0.105, 0.9475, 0.21, 1.055, 0.3175, 1.16, 0.4225, 1.265, 0.5275, 1.37, 0.6325, 1.475, 0.7375]</td></tr>
<tr><td>SpacingBetweenSlices</td><td>2.2</td></tr>
<tr><td>TotalReadoutTime</td><td>0.0243749</td></tr>
<tr><td>TxRefAmp</td><td>249.067</td></tr>
<tr><td>WipMemBlock</td><td>a998417e-09ec-4bac-bd2b-66deb79ecc51||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>[0.0009839795918367346, 0.0009978571428571428, 0.0010731632653061226, 0.001271734693877551]</td></tr>
<tr><td colspan=3>aqi</td><td>[0.004149518775510203, 0.005888685510204082, 0.009368835918367346, 0.015444555102040819]</td></tr>
<tr><td colspan=3>dummy_trs</td><td>1</td></tr>
<tr><td>dvars</td><td colspan=2>nstd</td><td>37.97278646123712</td></tr>
<tr><td>dvars</td><td colspan=2>std</td><td>1.0501742473195876</td></tr>
<tr><td>dvars</td><td colspan=2>vstd</td><td>1.0354552478350516</td></tr>
<tr><td colspan=3>efc</td><td>0.6565</td></tr>
<tr><td colspan=3>fber</td><td>126.3962</td></tr>
<tr><td>fd</td><td colspan=2>mean</td><td>0.05935421341731189</td></tr>
<tr><td>fd</td><td colspan=2>num</td><td>0</td></tr>
<tr><td>fd</td><td colspan=2>perc</td><td>0.0</td></tr>
<tr><td>fwhm</td><td colspan=2>avg</td><td>3.8410052029873714</td></tr>
<tr><td>fwhm</td><td colspan=2>x</td><td>3.65682493892592</td></tr>
<tr><td>fwhm</td><td colspan=2>y</td><td>3.8085589398011748</td></tr>
<tr><td>fwhm</td><td colspan=2>z</td><td>4.057631730235019</td></tr>
<tr><td colspan=3>gcor</td><td>[0.00378321, 0.00463755, 0.00403586, 0.00322388]</td></tr>
<tr><td>gsr</td><td colspan=2>x</td><td>0.14993785321712494</td></tr>
<tr><td>gsr</td><td colspan=2>y</td><td>0.014902867376804352</td></tr>
<tr><td>size</td><td colspan=2>t</td><td>98</td></tr>
<tr><td>size</td><td colspan=2>x</td><td>76</td></tr>
<tr><td>size</td><td colspan=2>y</td><td>102</td></tr>
<tr><td>size</td><td colspan=2>z</td><td>60</td></tr>
<tr><td colspan=3>snr</td><td>2.6061813036464256</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>2.196079969406128</td></tr>
<tr><td>spacing</td><td colspan=2>y</td><td>2.196079969406128</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>5.5192</td></tr>
<tr><td>summary</td><td>bg</td><td>mad</td><td>68.0333</td></tr>
<tr><td>summary</td><td>bg</td><td>mean</td><td>180.0707</td></tr>
<tr><td>summary</td><td>bg</td><td>median</td><td>72.0</td></tr>
<tr><td>summary</td><td>bg</td><td>n</td><td>331245.0</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>769.0</td></tr>
<tr><td>summary</td><td>bg</td><td>stdv</td><td>253.6718</td></tr>
<tr><td>summary</td><td>fg</td><td>k</td><td>0.7229</td></tr>
<tr><td>summary</td><td>fg</td><td>mad</td><td>304.0242</td></tr>
<tr><td>summary</td><td>fg</td><td>mean</td><td>840.2543</td></tr>
<tr><td>summary</td><td>fg</td><td>median</td><td>811.0</td></tr>
<tr><td>summary</td><td>fg</td><td>n</td><td>133875.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p05</td><td>399.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p95</td><td>1380.0</td></tr>
<tr><td>summary</td><td>fg</td><td>stdv</td><td>311.1821</td></tr>
<tr><td colspan=3>tsnr</td><td>38.78601159155369</td></tr>
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            </div>
            <div class="form-check form-switch small">
                <input class="form-check-input" type="checkbox" name="processing" id="qcartifacts-item-12" />
                <label class="form-check-label" for="qcartifacts-item-12">Processing such as denoising, defacing or resamplings happened</label>
            </div>
            <div class="form-check form-switch small">
                <input class="form-check-input" type="checkbox" name="uncategorized" id="qcartifacts-item-13" />
                <label class="form-check-label" for="qcartifacts-item-13">Other uncategorized artifact(s)</label>
            </div>
        </fieldset>
      </div> <!-- accordion-body -->
    </div> <!-- accordion-collapse -->
  </div> <!-- accordion-item -->
  <div class="accordion-item">
    <h2 class="accordion-header" id="qcextra-head">
      <button class="accordion-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#qcextra-collapse" aria-expanded="false" aria-controls="qcextra-collapse">
        Extra details
      </button>
    </h2>
    <div id="qcextra-collapse" class="accordion-collapse collapse" aria-labelledby="qcextra-head">
      <div class="accordion-body">
        <div class="input-group">
          <span class="input-group-text">Comments</span>
          <textarea class="form-control" aria-label="Comments" id="qcextra-comments"></textarea>
        </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>