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Record W4415496323 · doi:10.1136/bmjno-2025-anzan.6

YI6 MS outcomes in breast cancer survivors and the influence of chemotherapy

2025· article· W4415496323 on OpenAlexaff
Cassie Nesbitt, Paul G. Sanfilippo, Chao Zhu, Serkan Özakbaş, Alexandre Prat, Marc Girard, Pierre Duquette, Tomáš Kalinčík, Izanne Roos, Katherine Buzzard, Olga Skibina, Matteo Foschi, Andrea Surcinelli, Cavit Boz, Jeannette Lechner-Scott, Jana Libertínová, F. Patti, Allan G. Kermode, Marzena Pedrini, William Carroll, Michael J. Barnett, Bruce Taylor, Suzanne Hodgkinson, Pamela McCombe, Stephen Reddel, Steve Vucic, Sudarshini Ramanathan, Richard Macdonell, Nevin John, Mark Slee, Anneke van der Walt, Helmut Butzkueven, Vilija Jokubaitis

Bibliographic record

Venuenot available
Typearticle
Language
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBreast cancerChemotherapyCancerMEDLINERadiation therapy

Abstract

fetched live from OpenAlex

D4Z4 repeat array and several oculopharyngodistal myopathy (OPDM) genes (GIPC1, NOTCH2NLC, RILPL1, ABCD3).Conclusion LRS provided a streamlined approach to identifying a range of different pathogenic variants and led to resolution of a significant proportion of our previously undiagnosed genetic myopathy cohort.In particular, we identified a number of recently described pathogenic short tandem repeat expansions in OPDM genes for which clinically accredited genetic testing is not currently available in Australia.

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 score0.058
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.005
GPT teacher head0.279
Teacher spread0.274 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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