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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Differences by Country-Level Income in COVID-19 Cases, Deaths, Case-Fatality Rates, and Rates Per Million Population in the First Five Months of the Pandemic
This article has 1 author:Reviewed by ScreenIT
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Remarkable variability in SARS-CoV-2 antibodies across Brazilian regions: nationwide serological household survey in 27 states
This article has 15 authors:Reviewed by ScreenIT
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Cardiometabolic risk factors for COVID-19 susceptibility and severity: A Mendelian randomization analysis
This article has 6 authors:Reviewed by ScreenIT
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Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
This article has 11 authors:Reviewed by ScreenIT
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Head-to-head evaluation of seven different seroassays including direct viral neutralisation in a representative cohort for SARS-CoV-2
This article has 34 authors:Reviewed by ScreenIT
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Risk assessment for airborne disease transmission by poly-pathogen aerosols
This article has 3 authors:Reviewed by ScreenIT
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Modeling vaccination strategies in an Excel spreadsheet: Increasing the rate of vaccination is more effective than increasing the vaccination coverage for containing COVID-19
This article has 3 authors:Reviewed by ScreenIT
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SARS-CoV-2 requires cholesterol for viral entry and pathological syncytia formation
This article has 19 authors:Reviewed by ScreenIT
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Examining the decision to offer in-person college instruction during the COVID-19 era: A multilevel analysis of the factors that affected intentions to open
This article has 2 authors:Reviewed by ScreenIT
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Associations Between Movement Behaviors and Emotional Changes in Toddlers and Preschoolers During Early Stages of the COVID-19 Pandemic in Chile
This article has 10 authors:Reviewed by ScreenIT