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Record W2029410023 · doi:10.2174/1874471011104020090

Radiotracers Based on Technetium-94m

2011· review· en· W2029410023 on OpenAlexaff
Katherine Gagnon, S.A. McQuarrie, D. Abrams, Alexander McEwan, Frank Wuest

Bibliographic record

VenueCurrent Radiopharmaceuticals · 2011
Typereview
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPositron emission tomographyMolecular imagingPet imagingTechnetiumSolvent extractionChemistryRadiochemistryTechnetium-99mNuclear medicineMedical physicsNanotechnologyMaterials scienceExtraction (chemistry)MedicineNuclear chemistryScintigraphyOrganic chemistryIn vivo

Abstract

fetched live from OpenAlex

This review gives a survey on the use and applications of technetium-94m (94mTc) as a non-conventional positron emission tomography (PET) radionuclide for molecular imaging. The first part of this review describes the production and processing of 94mTc. The second part covers basic concepts of technetium coordination chemistry with a special focus on the synthesis of 94mTc-labeled compounds for molecular imaging purposes. The review concludes with a summary and an outlook on the prospects of using 94mTc in the field of PET chemistry and molecular imaging. Keywords: Technetium-94m, positron emission tomography, radiopharmaceuticals, molecular imaging, 94mTc Production, Thermochromatographic Separation, Solvent Extraction, PET Imaging, COORDINATION CHEMISTRY

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.262
GPT teacher head0.495
Teacher spread0.233 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2011
Admission routes1
Has abstractyes

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