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Record W4414446280 · doi:10.1016/j.breast.2025.104570

Corrigendum to “Hormonal factors predictive of fertility in patients with breast cancer interrupting adjuvant endocrine therapy to attempt pregnancy in POSITIVE trial” [The Breast 83 (2025) 104547]

2025· erratum· en· W4414446280 on OpenAlexaff
Isabelle Demeestere, Samuel M. Niman, Ann H. Partridge, Daniela Diego, Roswitha Kammler, Monica Ruggeri, Marco Colleoni, Chikako Shimizu, Cristina Saura, Karen A. Gelmon, Anna Barbro Sætersdal, Judith R. Kroep, Audrey Mailliez, Frédéric Amant, Manuel Ruíz‐Borrego, Jeong Eon Lee, Akemi Kataoka, Janice M. Walshe, Junko Takei, Simona Borštnar, Virginia F. Borges, Christobel Saunders, Sneẑana Šušnjar, Vesna Bjelic‐Radisic, Fátima Cardoso, Jane Meisel, Jennifer F. Kawwass, Tanja Španić, Sarra El-Abed, Martine Piccart, Larissa A. Korde, Aron Goldhirsch, Richard D. Gelber, Olivia Pagani, Hatem A. Azim, Fedro A. Peccatori

Bibliographic record

VenueThe Breast · 2025
Typeerratum
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversity of British Columbia
FundersNational Cancer Institute
KeywordsBreast cancerFertilityAdjuvantPregnancyEndocrine system

Abstract

fetched live from OpenAlex

Experimentele farmacotherapie

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)0.024
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.069
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0030.001
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0690.040

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 head0.024
GPT teacher head0.291
Teacher spread0.267 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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