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Record W2121200335 · doi:10.1109/memb.2006.1657790

A viral envelope as a vehicle for tracer, drug, and gene delivery

2006· article· en· W2121200335 on OpenAlexfundno aff
Jennifer A. Flexman, Satoshi Minoshima, Yong‐Min Kim, Sosuke Miyoshi, Barbara Lewellen, Donna J. Cross

Bibliographic record

VenueIEEE Engineering in Medicine and Biology Magazine · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsnot available
FundersNational Center for Research ResourcesNatural Sciences and Engineering Research Council of CanadaNational Institutes of Health
KeywordsBiodistributionPositron emission tomographyDrug deliveryBiomedical engineeringGene deliveryMedicineDrugRadioactive tracerViral vectorMedical physicsNuclear medicineGenetic enhancementPharmacologyNanotechnologyMaterials scienceChemistryRecombinant DNAGene

Abstract

fetched live from OpenAlex

Gene and drug encapsulation by a viral vector administered via a systemic injection represents a therapeutic delivery system that is noninvasive and can potentially be targeted to a region of the body. However, an effective way of monitoring biodistribution, both acutely and over the long term, is needed to evaluate new targeting technologies and to tailor patient care in the clinic. A sensitive and dynamic method is needed to compare the effect of various approaches on clearance. Positron emission tomography (PET) imaging can detect radiotracers within the body with high sensitivity, and, in this study, the noninvasive tracking of viral vectors tagged with radioactive fluorine ([F-18]fluoride) is presented.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.157
Threshold uncertainty score0.535

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.015
GPT teacher head0.283
Teacher spread0.267 · 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.

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

Citations2
Published2006
Admission routes1
Has abstractyes

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