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Record W2120088674 · doi:10.2967/jnmt.108.057851

Infrequently Performed Studies in Nuclear Medicine: Part 2

2009· article· en· W2120088674 on OpenAlexaff
A. MacDonald, Steve Burrell

Bibliographic record

VenueJournal of Nuclear Medicine Technology · 2009
Typearticle
Languageen
FieldMedicine
TopicMRI in cancer diagnosis
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsMedicineNuclear medicineScintigraphyMedical physicsRadiology

Abstract

fetched live from OpenAlex

Nuclear medicine is a diverse medical field, encompassing a wide range of studies. Many studies are performed on a daily basis, whereas some nuclear medicine studies are performed on a more infrequent basis. The following article is the second article in a 2-part series on infrequently performed studies in nuclear medicine. The procedures reviewed include CSF shunt imaging, brain death scintigraphy, testicular scanning, quantitative lung perfusion studies, lymphoscintigraphy, and salivary gland scintigraphy. This article may be of use to technologists faced with the task of performing one of these uncommon studies. After reviewing the article, the reader should be able to list the indications for each study, list the recommended doses, describe the proper method of dose administration for each study, discuss patient preparation for each procedure, and describe issues that may arise when performing these studies.

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)0.003
metaresearch head score (Gemma)0.010
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: Other · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0270.013

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 head0.067
GPT teacher head0.385
Teacher spread0.318 · 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
GenreOther

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

Citations42
Published2009
Admission routes1
Has abstractyes

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