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Record W2312596227 · doi:10.1007/978-1-62703-718-1_19

Noninvasive In Vivo Monitoring of Extracellular Vesicles

2013· article· en· W2312596227 on OpenAlexfundno aff
Charles Pin‐Kuang Lai, Bakhos A. Tannous, Xandra O. Breakefield

Bibliographic record

VenueMethods in molecular biology · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and StrokeNational Cancer InstituteCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsMicrovesiclesLuciferaseExtracellular vesiclesCell biologyMicrovesicleIn vivoBioluminescenceVesicleExtracellularIntracellularChemistryExtracellular vesicleCellExosomemicroRNABiologyBiochemistryTransfectionGeneMembrane

Abstract

fetched live from OpenAlex

Extracellular vesicles (EVs) including exosomes and microvesicles are nanometer-sized vesicles released by cells to deliver lipids, cellular proteins, mRNAs, and noncoding RNAs, thereby facilitating intercellular communication without direct cell-to-cell contacts. Due to their nanoscale size, EVs have been visualized under microscopy in vitro. We here describe a strategy to label EVs with Gaussia luciferase for noninvasive bioluminescence imaging and monitoring of systemically administered EVs in vivo.

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 categoriesMeta-epidemiology (narrow)
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 score0.255
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 integrity0.0000.000
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 head0.017
GPT teacher head0.346
Teacher spread0.329 · 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 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

Citations50
Published2013
Admission routes1
Has abstractyes

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