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Record W3193445523 · doi:10.1007/s00705-021-05205-9

Bacterial Viruses Subcommittee and Archaeal Viruses Subcommittee of the ICTV: update of taxonomy changes in 2021

2021· article· en· W3193445523 on OpenAlexaff
Mart Krupovìč, Dann Turner, Vera V. Morozova, Mike Dyall‐Smith, Hanna M. Oksanen, Robert A. Edwards, Bas E. Dutilh, Susan M. Lehman, Alejandro Reyes, Diana P. Baquero, Matthew B. Sullivan, Jumpei Uchiyama, Jesca Nakavuma, Jakub Barylski, Mark Young, Shishen Du, Poliane Alfenas‐Zerbini, Kushkina Ai, Andrew M. Kropinski, D. İpek Kurtböke, J. Rodney Brister, Cédric Lood, B L Sarkar, Yigang Tong, Ying Liu, Li Huang, Johannes Wittmann, Ніна Чанішвілі, Leonardo Joaquim van Zyl, J. Rumnieks, Tomohiro Mochizuki, Matti Jalasvuori, Ramy K. Aziz, Małgorzata Łobocka, Kenneth M. Stedman, Andrey N. Shkoporov, Annika Gillis, Xu Peng, François Enault, Petar Knežević, Rob Lavigne, Sung‐Keun Rhee, Virginija Cvirkaitė‐Krupovič, Cristina Moraru, Andrea I. Moreno‐Switt, Minna M. Poranen, Andrew Millard, David Prangishvili, Evelien M. Adriaenssens

Bibliographic record

VenueArchives of Virology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversity of Guelph
FundersDivision of Biological InfrastructureWellcome TrustBiotechnology and Biological Sciences Research CouncilJapan Society for the Promotion of ScienceMinistry of Education and Science of the Russian FederationDirectorate for Biological SciencesNational Institutes of HealthNovo NordiskJane ja Aatos Erkon SäätiöFonds Wetenschappelijk OnderzoekChinese Academy of SciencesNovo Nordisk FondenAcademy of FinlandJapan Science and Technology AgencyNational Natural Science Foundation of ChinaSumitomo FoundationDeutsche ForschungsgemeinschaftNational Research FoundationHelsingin YliopistoEuropean CommissionNational Research Foundation of KoreaEuropean Research CouncilGordon and Betty Moore FoundationDanmarks Frie ForskningsfondNational Science FoundationNational Institute of Diabetes and Digestive and Kidney DiseasesWellcomeAcademy of Scientific Research and Technology
KeywordsBiologyVirologyVirus classificationTaxonomy (biology)Medical microbiologyGeneticsZoologyGenomeGene

Abstract

fetched live from OpenAlex

In this article, we - the Bacterial Viruses Subcommittee and the Archaeal Viruses Subcommittee of the International Committee on Taxonomy of Viruses (ICTV) - summarise the results of our activities for the period March 2020 - March 2021. We report the division of the former Bacterial and Archaeal Viruses Subcommittee in two separate Subcommittees, welcome new members, a new Subcommittee Chair and Vice Chair, and give an overview of the new taxa that were proposed in 2020, approved by the Executive Committee and ratified by vote in 2021. In particular, a new realm, three orders, 15 families, 31 subfamilies, 734 genera and 1845 species were newly created or redefined (moved/promoted).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.233
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations41
Published2021
Admission routes1
Has abstractyes

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