ScreenIT
The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
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Forecasting COVID-19 Spreading in Canada using Deep Learning
This article has 2 authors:Reviewed by ScreenIT
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Passive and active immunity in infants born to mothers with SARS-CoV-2 infection during pregnancy: prospective cohort study
This article has 32 authors:Reviewed by ScreenIT
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Tracking the emergence of disparities in the subnational spread of COVID-19 in Brazil using an online application for real-time data visualisation: A longitudinal analysis
This article has 13 authors:Reviewed by ScreenIT
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dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling
This article has 9 authors:Reviewed by ScreenIT
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COVID-19 Vaccine Perceptions and Differences by Sex, Age, and Education in 1,367 Community Adults in Ontario
This article has 7 authors:Reviewed by ScreenIT
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Modelling upper respiratory viral load dynamics of SARS-CoV-2
This article has 9 authors:Reviewed by ScreenIT
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A Population-Level Analysis of the Protective Effects of Androgen Deprivation Therapy Against COVID-19 Disease Incidence and Severity
This article has 14 authors:Reviewed by ScreenIT
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Changes in work and health of Australians during the COVID-19 pandemic: a longitudinal cohort study
This article has 7 authors:Reviewed by ScreenIT
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Thermal Camera Detection of High Temperature for Mass COVID Screening
This article has 11 authors:Reviewed by ScreenIT
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The impact of COVID-19 pandemic on the utilization of ambulatory care for patients with chronic neurological diseases in Japan: Evaluation of an administrative claims database
This article has 6 authors:Reviewed by ScreenIT