MétaCan
Menu
Back to cohort
Record W1482198677 · doi:10.1007/s00705-013-1877-2

Virus nomenclature below the species level: a standardized nomenclature for filovirus strains and variants rescued from cDNA

2013· article· en· W1482198677 on OpenAlexaff
Jens H. Kuhn, Yīmíng Bào, Sina Bavari, Stephan Becker, Steven B. Bradfute, Kristina Brauburger, J. Rodney Brister, Alexander Bukreyev, Yíngyún Caì, Kartik Chandran, Robert A. Davey, Olga Dolnik, John M. Dye, Sven Enterlein, Jean‐Paul Gonzalez, Pierre Formenty, Alexander N. Freiberg, Lisa E. Hensley, Thomas Hoenen, Anna N. Honko, Peter B. Jahrling, Karl M. Johnson, Hans‐Dieter Klenk, Gary Kobinger, Matthew G. Lackemeyer, Eric M. Leroy, Mark S. Lever, Elke Mühlberger, Netesov Sv, Gene G. Olinger, Gustavo Palacios, Jean L. Patterson, Janusz T. Pawęska, M. Louise M. Pitt, Sheli R. Radoshitzky, E. I. Ryabchikova, Erica Ollmann Saphire, Sophie J. Smither, Nancy J. Sullivan, Robert Swanepoel, Ayato Takada, Jonathan S. Towner, Guido van der Groen, Viktor E. Volchkov, Valentina A. Volchkova, Victoria Wahl‐Jensen, Travis K. Warren, Kelly L. Warfield, Manfred Weidmann, Stuart T. Nichol

Bibliographic record

VenueArchives of Virology · 2013
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsPublic Health Agency of Canada
FundersU.S. National Library of MedicineNational Institute of Allergy and Infectious DiseasesU.S. Department of Health and Human ServicesNational Institutes of HealthBattelleWorld Health OrganizationU.S. Department of Defense
KeywordsNomenclatureBiologyVirologyVirus classificationComplementary DNAVirusMarburg virusGeneticsTaxonomy (biology)ZoologyEbola virusGeneGenome

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0020.003

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 head0.037
GPT teacher head0.301
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations75
Published2013
Admission routes1
Has abstractno

Explore more

Same venueArchives of VirologySame topicViral Infections and Outbreaks ResearchFrench-language works237,207