MétaCan
Menu
Back to cohort
Record W4412992005 · doi:10.1148/radiol.243788

<sup>18</sup>F-FDG PET/CT of Oligometastatic Disease in Locally Advanced Breast Cancer: PETABC Trial Post Hoc Analysis

2025· article· en· W4412992005 on OpenAlexaff
Ur Metser, Seyed Ali Mirshahvalad, Ian S. Dayes, Sameer Parpia, Mark N. Levine

Bibliographic record

VenueRadiology · 2025
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsJuravinski Cancer CentreOntario Clinical Oncology GroupOntario Institute for Cancer ResearchMcMaster UniversityWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineSupraclavicular lymph nodesBreast cancerRadiologyLymph nodeFluorodeoxyglucoseNuclear medicineOncologyPositron emission tomographyCancerInternal medicine

Abstract

fetched live from OpenAlex

At initial staging of locally advanced invasive ductal carcinoma, fluorine 18 fluorodeoxyglucose PET/CT helped to identify oligometastatic disease in 10% of patients and supraclavicular and/or internal mammary lymph node metastases in approximately one-third of patients.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.332
Teacher spread0.322 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2025
Admission routes1
Has abstractyes

Explore more

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