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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Smart pooling: AI-powered COVID-19 informative group testing
This article has 19 authors:Reviewed by ScreenIT
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Impact of COVID-19-related disruptions to measles, meningococcal A, and yellow fever vaccination in 10 countries
This article has 27 authors:Reviewed by ScreenIT
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SARS-CoV-2 mucosal antibody development and persistence and their relation to viral load and COVID-19 symptoms
This article has 19 authors:Reviewed by ScreenIT
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Features of C-reactive protein in COVID-19 patients with different ages, clinical types and outcomes: a cohort study
This article has 9 authors:Reviewed by ScreenIT
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The effect of area deprivation on COVID-19 risk in Louisiana
This article has 5 authors:Reviewed by ScreenIT
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Possible fates of the spread of SARS-CoV-2 in the Mexican context
This article has 2 authors:Reviewed by ScreenIT
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Acceptance and attitudes toward COVID-19 vaccines: A cross-sectional study from Jordan
This article has 5 authors:Reviewed by ScreenIT
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Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation
This article has 6 authors:Reviewed by ScreenIT
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Cell-Type-Specific Immune Dysregulation in Severely Ill COVID-19 Patients
This article has 21 authors:Reviewed by ScreenIT
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Did the Indian lockdown avert deaths?
This article has 1 author:Reviewed by ScreenIT