“Tortured phrases” in preprints

Figures & data

Table 1. COVID-19-related preprints with “tortured phrases”, as indexed in PPS^a.

Preprint DOI	“Tortured phrase(s)” (verbatim)	Likely or presumed jargon
https://doi.org/10.21203/rs.3.rs-1725511/v1	chest X-beam picture tests graphic preparing unit (GPU); pharmaceutical units (GPUs) serious intense respiratory disorder (SARS) X-beam	chest X-ray film diagnosis graphics processing unit (GPU) severe acute respiratory syndrome (SARS) X-ray
https://doi.org/10.1101/2020.05.27.20100297^b^,^c https://doi.org/10.48550/arXiv.2110.09384^b^,^c	convolutional neural system figured tomography (CT) man-made consciousness profound neural system x-beam	convolutional neural network (CNN) computed tomography (CT) artificial intelligence deep neural network X-ray
https://doi.org/10.1101/2020.07.08.20148924^b^,^d	hack converse interpretation polymerase chain response (RT-PCR) spewing yield layer	cough reverse transcribed polymerase chain reaction (RT-PCR) vomiting output layer
https://doi.org/10.2139/ssrn.3852865	convolutional neural organizations crude picture pixels multi-facet perceptron (MLPs)	convolutional neural networks raw image pixels multi-layer perceptron (MLP)
https://doi.org/10.21203/rs.3.rs-867959/v1	biting the dust Covid contamination 2019 (COVID-19) extreme acute respiration syndrome Covid 2 (SARS-CoV-2) neural association top notch picture	dying/deceasing coronavirus disease 2019 (COVID-19) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) neural network high-resolution image
https://doi.org/10.21203/rs.3.rs-765835/v1	Center East Respiratory Condition Extreme/Serious Intense Respiratory Disorder (SARS) non-drug mediations (NPIs) social separating tainted people World Wellbeing Association (WHO)	Middle East Respiratory Syndrome (MERS) severe acute respiratory syndrome (SARS) non-pharmaceutical interventions (NPIs) social distancing infected individuals World Health Association (WHO)
https://doi.org/10.21203/rs.3.rs-1294582/v1	blunder rate blunder worth chest congestion	error rate error value pulmonary congestion
https://doi.org/10.21203/rs.3.rs-2095290/v1	arbitrary woods COVID-19 plague/pestilence	random forests COVID-19 pandemic
https://doi.org/10.1101/2020.05.01.20088211^b^,^e	ailment fringe limitations	failure/disease border control
https://doi.org/10.1101/2020.07.15.205567^b	bleakness Chi-square metric lymph hub	morbidity Chi-squared test lymph node
https://doi.org/10.21203/rs.3.rs-100956/v3^b^,^f	extreme intense respiration syndrome-coronavirus 2 (SARS-CoV-2)	severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

^aOnly select examples are noted (January 10, 2023); where possible, examples related to health or COVID-19 are indicated; sample derived from the mention of COVID in the preprint’s title.

^bClues drawn from PubPeer (searchable using the preprint’s DOI).

^cDuplicate preprints (albeit with cosmetic differences) on different preprint servers, and with different authorship.

^dIdentical errors propagated into the final published paper: https://doi.org/10.30538/psrp-easl2020.0054.

^eIdentical errors propagated into the final published paper: https://doi.org/10.1109/ICCC51575.2020.9344870.

^fWithdrawn/retracted.