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Seeding of outbreaks of COVID-19 by contaminated fresh and frozen food
Fisher, D.; Reilly, A.; Kang Eng Zheng, A.; Cook, A. R.; Anderson, D.
2020-08-18
microbiology
10.1101/2020.08.17.255166
bioRxiv
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The authors have withdrawn this manuscript because some aspects of the published work were completed prior to regulatory approval. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.
Matching journals
●Non-profit
◐University press
○Commercial
The top 7 journals account for 50% of the predicted probability mass.
1
Emerging Infectious Diseases
●
105 papers in training set
Top 0.1%
18.6%
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2
PLOS ONE
●
5266 papers in training set
Top 18%
9.9%
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- Genomic Evidence of Environmental and Resident Salmonella Senftenberg and Montevideo Contamination in the Pistachio Supply-chain 92%
3
Viruses
○
332 papers in training set
Top 0.5%
7.3%
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- The role of airborne particles in the epidemiology of clade 2.3.4.4b H5N1 high pathogenicity avian influenza virus in commercial poultry production units 93%
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4
Microbiology Spectrum
●
469 papers in training set
Top 3%
4.9%
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- Ancestral lineage of SARS-CoV-2 is more stable in human biological fluids than Alpha, Beta and Omicron variants of concern 92%
- High prevalence of Klebsiella pneumoniae in European food products: a multicentric study comparing culture and molecular detection methods 92%
- Evaluation of the INDICAID™ COVID-19 Rapid Antigen Test in symptomatic populations and asymptomatic community testing 91%
50% of probability mass above
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.