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Record W2140755192 · doi:10.1099/vir.0.80490-0

Analysis of the Choristoneura fumiferana nucleopolyhedrovirus genome

2005· article· en· W2140755192 on OpenAlexaff
Jondavid G. de Jong, Hilary A. M. Lauzon, Cliff Dominy, Arkadi Poloumienko, Eric B. Carstens, Basil M. Arif, Peter J. Krell

Bibliographic record

VenueJournal of General Virology · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicViral Infectious Diseases and Gene Expression in Insects
Canadian institutionsQueen's UniversityOntario Forest Research InstituteUniversity of Guelph
Fundersnot available
KeywordsORFSBiologyGenomeVirologyGeneticsOpen reading frameBaculoviridaeContext (archaeology)GenePeptide sequenceSpodopteraRecombinant DNA

Abstract

fetched live from OpenAlex

The double-stranded DNA genome of Choristoneura fumiferana nucleopolyhedrovirus (CfMNPV) was sequenced and analysed in the context of other group I nucleopolyhedroviruses (NPVs). The genome consists of 129,593 bp with a G + C content of 50.1 mol%. A total of 146 open reading frames (ORFs) of greater than 150 bp, and with no or minimal overlap were identified. In addition, five homologous regions were identified containing 7-10 repeats of a 36 bp imperfect palindromic core. Comparison with other completely sequenced baculovirus genomes revealed that 139 of the CfMNPV ORFs have homologues in at least one other baculovirus and seven ORFs are unique to CfMNPV. Of the 117 CfMNPV ORFs common to all group I NPVs, 12 are exclusive to group I NPVs. Overall, CfMNPV is most similar to Orgyia pseudotsugata MNPV based on gene content, arrangement and overall amino acid identity. Unlike other group I baculoviruses, however, CfMNPV encodes a viral enhancing factor (vef) and has two copies of p26.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.006
GPT teacher head0.253
Teacher spread0.248 · 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 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

Citations65
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueJournal of General VirologySame topicViral Infectious Diseases and Gene Expression in InsectsFrench-language works237,207