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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Prognostic accuracy of emergency department triage tools for children with suspected COVID-19: The PRIEST observational cohort study
This article has 24 authors:Reviewed by ScreenIT
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Negligible Risk of the COVID-19 Resurgence Caused by Work Resuming in China (outside Hubei): a Statistical Probability Study
This article has 5 authors:Reviewed by ScreenIT
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Assessing the impact of a symptom-based mass screening and testing intervention during a novel infectious disease outbreak: The case of COVID-19
This article has 5 authors:Reviewed by ScreenIT
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Predicting Need for Escalation of Care or Death From Repeated Daily Clinical Observations and Laboratory Results in Patients With Severe Acute Respiratory Syndrome Coronavirus 2
This article has 13 authors:Reviewed by ScreenIT
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Paired Nasopharyngeal and Deep Lung Testing for Severe Acute Respiratory Syndrome Coronavirus-2 Reveals a Viral Gradient in Critically Ill Patients
This article has 13 authors:Reviewed by ScreenIT
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Effect of evacuation of Japanese residents from Wuhan, China, on preventing transmission of novel coronavirus infection: A modelling study
This article has 5 authors:Reviewed by ScreenIT
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Evidence for secondary thrombotic microangiopathy in COVID-19
This article has 6 authors:Reviewed by ScreenIT
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The Impact of the COVID-19 Outbreak on the Medical Treatment of Chinese Children with Chronic Kidney Disease (CKD) : A Multicenter Cross-section Study in the Context of a Public Health Emergency of International Concern
This article has 24 authors:Reviewed by ScreenIT
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Identification of novel antiviral drug combinations in vitro and tracking their development
This article has 26 authors:Reviewed by ScreenIT
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A novel approach for evaluating contact patterns and risk mitigation strategies for COVID-19 in English primary schools with application of structured expert judgement
This article has 8 authors:Reviewed by ScreenIT