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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Vulnerability to COVID-19-related Harms Among Transgender Women With and Without HIV Infection in the Eastern and Southern U.S.
This article has 5 authors:Reviewed by ScreenIT
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Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach
This article has 23 authors:Reviewed by ScreenIT
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Concerns, quality of life, access to care and productivity of the general population during the first 8 weeks of the coronavirus lockdown in Belgium and the Netherlands
This article has 5 authors:Reviewed by ScreenIT
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Clinical Characteristics of Outpatients and Inpatients With COVID-19 in Bushehr: A Report From the South of Iran
This article has 9 authors:Reviewed by ScreenIT
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Post-anticoagulant D-dimer is a highly prognostic biomarker of COVID-19 mortality
This article has 10 authors:Reviewed by ScreenIT
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Symptoms associated with a COVID-19 infection among a non-hospitalized cohort in Vienna
This article has 8 authors:Reviewed by ScreenIT
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Differential impacts of contact tracing and lockdowns on outbreak size in COVID-19 model applied to China
This article has 3 authors:Reviewed by ScreenIT
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Poor Eating Habits and Selected Determinants of Food Choice Were Associated With Ultraprocessed Food Consumption in Brazilian Women During the COVID-19 Pandemic
This article has 12 authors:Reviewed by ScreenIT
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Bioinformatic analysis of shared B and T cell epitopes amongst relevant coronaviruses to human health: Is there cross-protection?
This article has 8 authors:Reviewed by ScreenIT
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SARS-CoV-2 Infection Is at Herd Immunity in the Majority Segment of the Population of Qatar
This article has 95 authors:Reviewed by ScreenIT