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Record W2152860087 · doi:10.3390/v6093663

Filovirus RefSeq Entries: Evaluation and Selection of Filovirus Type Variants, Type Sequences, and Names

2014· letter· en· W2152860087 on OpenAlexaff
Jens H. Kuhn, Kristian G. Andersen, Yīmíng Bào, Sina Bavari, Stephan Becker, Richard S. Bennett, Nicholas H. Bergman, Olga Blinkova, Steven B. Bradfute, J. Rodney Brister, Alexander Bukreyev, Kartik Chandran, А. А. Чепурнов, Robert A. Davey, Ralf G. Dietzgen, Norman A. Doggett, Olga Dolnik, John M. Dye, Sven Enterlein, Paul W. Fenimore, Pierre Formenty, Alexander N. Freiberg, Robert F. Garry, Nicole L. Garza, Stephen Gire, Jean‐Paul Gonzalez, Anthony Griffiths, Christian Happi, Lisa E. Hensley, Andrew S. Herbert, Michael Hevey, Thomas Hoenen, Anna N. Honko, G. M. Ignatyev, Peter B. Jahrling, Joshua C. Johnson, Karl Johnson, Jason Kindrachuk, Hans‐Dieter Klenk, Gary Kobinger, Tadeusz J. Kochel, Matthew G. Lackemeyer, Daniel H. Lackner, Eric M. Leroy, Mark S. Lever, Elke Mühlberger, Netesov Sv, Gene G. Olinger, Sunday Omilabu, Gustavo Palacios, Rekha G. Panchal, Daniel J. Park, Jean L. Patterson, Janusz T. Pawęska, C. J. Peters, James Pettitt, M. Louise M. Pitt, Sheli R. Radoshitzky, E. I. Ryabchikova, Erica Ollmann Saphire, Pardis C. Sabeti, Rachel Sealfon, A. M. Shestopalov, 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

VenueViruses · 2014
Typeletter
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsPublic Health Agency of Canada
FundersU.S. National Library of MedicineNational Institute of Allergy and Infectious DiseasesDefense Threat Reduction AgencyDepartment of Human ServicesU.S. Department of Homeland SecurityBattelleScience and Technology DirectorateWorld Health OrganizationNational Institutes of HealthU.S. Department of Health and Human ServicesU.S. Department of Defense
KeywordsRefSeqAnnotationEbola virusBiologyGenomeSequence (biology)Whole genome sequencingSequence analysisGeneticsComputational biologyVirusGene

Abstract

fetched live from OpenAlex

Sequence determination of complete or coding-complete genomes of viruses is becoming common practice for supporting the work of epidemiologists, ecologists, virologists, and taxonomists. Sequencing duration and costs are rapidly decreasing, sequencing hardware is under modification for use by non-experts, and software is constantly being improved to simplify sequence data management and analysis. Thus, analysis of virus disease outbreaks on the molecular level is now feasible, including characterization of the evolution of individual virus populations in single patients over time. The increasing accumulation of sequencing data creates a management problem for the curators of commonly used sequence databases and an entry retrieval problem for end users. Therefore, utilizing the data to their fullest potential will require setting nomenclature and annotation standards for virus isolates and associated genomic sequences. The National Center for Biotechnology Information's (NCBI's) RefSeq is a non-redundant, curated database for reference (or type) nucleotide sequence records that supplies source data to numerous other databases. Building on recently proposed templates for filovirus variant naming [<virus name> (<strain>)/<isolation host-suffix>/<country of sampling>/<year of sampling>/<genetic variant designation>-<isolate designation>], we report consensus decisions from a majority of past and currently active filovirus experts on the eight filovirus type variants and isolates to be represented in RefSeq, their final designations, and their associated sequences.

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)0.001
metaresearch head score (Gemma)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.087
GPT teacher head0.374
Teacher spread0.287 · 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 designNot applicable
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

Citations55
Published2014
Admission routes1
Has abstractyes

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