Published on 27.06.19 in Vol 21, No 6 (2019): June
Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/14950, first published Jun 06, 2019.
Corrigenda and Addenda
Addendum to the Acknowledgements: Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks
Correction of: http://www.jmir.org/2019/5/e13668/
J Med Internet Res 2019;21(6):e14950
The authors of “Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks” (J Med Internet Res 2019;21(5):e13668) missed an important source of funding in the Acknowledgments section — Wu Tsai Neurosciences Institute Neuroscience: Translate Program. The revised Acknowledgments section now appears as follows:
We thank all the crowd workers and citizen scientists who participated in the studies. These studies were supported by awards to DW by the National Institutes of Health (1R21HD091500-01 and 1R01EB025025-01). Additionally, we acknowledge the support of grants to DW from The Hartwell Foundation, the David and Lucile Packard Foundation Special Projects Grant, Beckman Center for Molecular and Genetic Medicine, Coulter Endowment Translational Research Grant, Berry Fellowship, Spectrum Pilot Program, Stanford’s Precision Health and Integrated Diagnostics Center (PHIND), Wu Tsai Neurosciences Institute Neuroscience: Translate Program, and Stanford’s Institute of Human Centered Artificial Intelligence as well as philanthropic support from Mr. Peter Sullivan. HK would like to acknowledge support from the Thrasher Research Fund and Stanford NLM Clinical Data Science program (T-15LM007033-35).
The correction will appear in the online version of the paper on the JMIR website on June 27, 2019, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article also has been resubmitted to those repositories.
Edited by G Eysenbach; This is a non–peer-reviewed article. submitted 06.06.19; accepted 13.06.19; published 27.06.19
©Peter Washington, Haik Kalantarian, Qandeel Tariq, Jessey Schwartz, Kaitlyn Dunlap, Brianna Chrisman, Maya Varma, Michael Ning, Aaron Kline, Nathaniel Stockham, Kelley Paskov, Catalin Voss, Nick Haber, Dennis Paul Wall. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 27.06.2019.
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