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Record W2402856136 · doi:10.1007/978-1-59745-557-2_15

In Vivo Imaging of Oligonucleotidic Aptamers

2009· article· en· W2402856136 on OpenAlexfundno aff
Bertrand Tavitian, Frederic Ducongè, Raphaël Boisgard, Frédéric Dollé

Bibliographic record

VenueMethods in molecular biology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsnot available
FundersInstitute of Cancer ResearchAgence Nationale de la RechercheInstitut National Du CancerFondation de FranceAssociation pour la Recherche sur le Cancer
KeywordsAptamerPositron emission tomographyIn vivoPreclinical imagingMolecular imagingPet imagingLabellingPositronOptical imagingFluorescenceChemistryMedical physicsNanotechnologyBiomedical engineeringMaterials scienceNuclear medicineMolecular biologyMedicineBiologyOpticsPhysicsBiochemistryGeneticsNuclear physics

Abstract

fetched live from OpenAlex

In this chapter we present the methods developed in our laboratory for in vivo imaging of oligonucleotidic aptamers. These methods relate to (i) the labelling of aptamers with fluorine-18, a positron emitter, (ii) Positron Emission Tomography imaging of laboratory animals with [(18)F]aptamers and (iii) labelling with fluorescent dyes and optical imaging of aptamers in mice.

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)0.000
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: Methods · Consensus signal: none
Teacher disagreement score0.206
Threshold uncertainty score0.666

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.010
GPT teacher head0.379
Teacher spread0.369 · 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
GenreMethods

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

Citations28
Published2009
Admission routes1
Has abstractyes

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