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Record W2917651464 · doi:10.2967/jnmt.108.051383

Infrequently Performed Studies in Nuclear Medicine: Part 1

2008· article· en· W2917651464 on OpenAlexaff
A. MacDonald, Steven Burrell

Bibliographic record

VenueJournal of Nuclear Medicine Technology · 2008
Typearticle
Languageen
FieldMedicine
TopicMRI in cancer diagnosis
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsMedical physicsMedicineNuclear medicineReading (process)Organ systemPathologyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Nuclear medicine is a diverse field with a large number of different studies spanning virtually all organ systems and medical specialties. Many nuclear medicine procedures are performed routinely; others may be performed only rarely, sometimes less than once per year. The infrequent nature of many studies makes it challenging to retain relevant knowledge and skills. This 2-part article provides a review of several infrequently performed studies. The topics discussed in Part 1 include dacroscintigraphy, LeVeen shunts, scintimammography, right-to-left shunts, left-to-right shunts, and heat-damaged red blood cells. After reading this article, the reader should be able to list and describe the indications for each study, list the doses and describe their proper method of administration, and describe problems that may arise during the imaging procedure and how they should be handled.

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)0.002
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.008

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 head0.114
GPT teacher head0.374
Teacher spread0.260 · 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
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

Citations46
Published2008
Admission routes1
Has abstractyes

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