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Record W2333305246 · doi:10.1139/w11-128

Identification of envelope protein ORF10 of channel catfish herpesvirus

2012· article· en· W2333305246 on OpenAlexvenueno aff
Yulin Liu, Junfa Yuan, Weimin Wang, Xiaoxuan Chen, Rong Tang, Min Wang, Lijuan Li

Bibliographic record

VenueCanadian Journal of Microbiology · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAquaculture disease management and microbiota
Canadian institutionsnot available
FundersFundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China
KeywordsCatfishOpen reading frameBiologyVirologyViral envelopeWestern blotVirusMolecular biologyAntiserumGeneAntibodyPeptide sequenceFish <Actinopterygii>GeneticsFishery

Abstract

fetched live from OpenAlex

Channel catfish virus (CCV) is a viral pathogen of fry and fingerling channel catfish and can cause significant commercial loss. Previous studies have shown that the CCV virion contains at least 25 predicted structural proteins, including viral protein 10, which is encoded by the orf10 gene of the CCV. In this paper, the orf10 gene was expressed in Escherichia coli and used to produce a specific antibody. Western blot analysis confirmed that open reading frame 10 is an envelope protein. A viral neutralization assay demonstrated that open reading frame 10 antiserum was able to inhibit CCV infection of channel catfish ovary cells, suggesting that viral protein 10 is likely to play an important role in the CCV infection of channel catfish ovary cells.

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 score0.003
Threshold uncertainty score0.005

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 head0.011
GPT teacher head0.209
Teacher spread0.198 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Microbiology→Same topicAquaculture disease management and microbiota→French-language works237,207→