MétaCan
Menu
Back to cohort
Record W2093037502 · doi:10.1063/1.4773940

Producing radiometals in liquid targets: Proof of feasibility with [sup 94m]Tc

2012· article· en· W2093037502 on OpenAlexaff
Cornelia Hoehr, Brian Badesso, Tom Morley, M. Trinczek, K. Buckley, J. Klug, Stefan Zeisler, V. Hanemaayer, T. R. Ruth, François Bénard, Paul Schaffer

Bibliographic record

VenueAIP conference proceedings · 2012
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsBC Cancer AgencyTRIUMF
Fundersnot available
KeywordsLiquid metalMolybdenumComputer scienceCyclotronProcess engineeringFOIL methodIsotopeProof of conceptRadiochemistryMaterials scienceChemistryNuclear engineeringPhysicsOperating systemMetallurgyNuclear physicsEngineeringIon

Abstract

fetched live from OpenAlex

94mTc was produced in a liquid target loaded with a molybdenum-salt solution. This novel technique allows for the irradiation of metals dissolved in a liquid solution, normally only available in metal powder or foil form. By using this approach, the existing liquid targets and transfer infrastructure of many PET cyclotrons can be used to produce radiometals, avoiding the need, expense and challenges of operating solid targets. Such an approach allows for rapid testing of new isotopes for proof of feasibility studies. Different concentrations of Mo solution and their effect on the target performance were tested. Sufficient quantities to allow for preclinical studies were produced.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.056
GPT teacher head0.328
Teacher spread0.272 · 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 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

Citations6
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueAIP conference proceedingsSame topicRadiopharmaceutical Chemistry and ApplicationsFrench-language works237,207