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Record W2072279843 · doi:10.2174/1872215611307010009

Licensed DNA Vaccines against Infectious Hematopoietic Necrosis Virus (IHNV)

2013· review· en· W2072279843 on OpenAlex
Marta Alonso‐Hearn, Jo‐Ann C. Leong

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRecent Patents on DNA & Gene Sequences · 2013
Typereview
Languageen
FieldImmunology and Microbiology
TopicAquaculture disease management and microbiota
Canadian institutionsnot available
Fundersnot available
KeywordsInfectious hematopoietic necrosis virusVirologyBiologyDNA vaccinationVirusDNANecrosisPlasmidFish <Actinopterygii>FisheryRainbow troutGenetics

Abstract

fetched live from OpenAlex

This article reviews some of the recent patents on DNA vaccines against fish viruses, in particular against the novirhabdovirus infectious hematopoitic necrosis virus (IHNV). Although very effective in protecting fish against IHNV, only one DNA vaccine has been approved to date for use in Canada. In Europe and in US, its commercialization is restricted due to safety concerns. Keywords: Apoptosis, DNA vaccines, fish promoters, infectious hematopoietic necrosis virus, salmonid fish, suicidal DNA vaccines, DNA-plasmid solution, aquaculture, coding sequences, fusion protein, shellfish pathogens, programmed cell death

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.951
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.013

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 head0.043
GPT teacher head0.285
Teacher spread0.243 · 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