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Record W2029410023 · doi:10.2174/1874471011104020090

Radiotracers Based on Technetium-94m

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

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.970
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.002

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