MétaCan
Menu
Back to cohort
Record W2080727444 · doi:10.3769/radioisotopes.59.329

Importance of a 99Mo/99mTc Generator and a Perspective of Nuclear Medicine in the Face of the Difficult Situation of Supply Shortage of 99mTc from the Viewpoint of a Nuclear Medicine Specialist

2010· article· en· W2080727444 on OpenAlexfundno aff
小須田 茂

Bibliographic record

VenueRADIOISOTOPES · 2010
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsnot available
FundersAtomic Energy of Canada Limited
KeywordsEconomic shortageNuclear medicinePerspective (graphical)Generator (circuit theory)Face (sociological concept)MedicineMedical physicsPhysicsComputer scienceSociologyPhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

99mTc供給不足という厳しい状況で,99mTc標識放射性医薬品を列挙し,その臨床的有用性を述べた。我が国での99mTc製剤の供給と99Mo/99mTcジェネレータ販売実績を経時的に記述した。一体型SPECT/CT装置は2核種同時収集と機能,形態の両方の情報が得られるため,更なる普及が望まれる。パリで開催されたOECD/NEA要旨とトロントで開催された第56回米国核医学会議での記者会見を紹介し,現在の問題点,取り組むべき課題を提示した。埼玉県内で施行されたアンケート調査では,99Moの国産化などが99mTc供給不足の解決策として挙げられた。これに関連して,JMTRでの99Mo国産化計画が現在,進行中であることを紹介した。99mTcの安定供給を確立した上で今後核医学が発展するための課題として,半導体検出器を用いた一体型SPECT/CT装置の開発,新しい放射性医薬品の臨床応用,従来のSPECT検査の再評価などを挙げた。

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)0.009
metaresearch head score (Gemma)0.005
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.015
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.018
Scholarly communication0.0090.011
Open science0.0020.006
Research integrity0.0150.013
Insufficient payload (model declined to judge)0.0050.001

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 head0.014
GPT teacher head0.283
Teacher spread0.269 · 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
GenreCommentary

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

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueRADIOISOTOPESSame topicMedical Imaging Techniques and ApplicationsFrench-language works237,207