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Record W4408519004 · doi:10.1188/25.cjon.113-118

Optimizing Assessment of and Education About Chemotherapy-Induced Peripheral Neuropathy Among Breast Cancer Survivors

2025· article· en· W4408519004 on OpenAlexaff
La-Urshalar Brock, Katherine A. Yeager, Ilana Graetz, Nicholas A. Giordano

Bibliographic record

VenueClinical journal of oncology nursing · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsBrock University
Fundersnot available
KeywordsMedicinePeripheral neuropathyBreast cancerChemotherapy-induced peripheral neuropathyOncologyChemotherapyInternal medicineCancerPeripheralDiabetes mellitus

Abstract

fetched live from OpenAlex

One in eight women in the United States will be diagnosed with breast cancer in their lifetime. In 2025, it is estimated that there will be 316,950 new diagnoses of breast cancer (American Cancer Society, 2025), of which 2,800 will be diagnosed in men. With advances in treatment, the number of breast cancer survivors (BCSs) is steadily increasing. There are about four million BCSs in the United States (American Cancer Society, 2022, 2025). The longer BCSs live, the more long-term side effects of treatment become apparent (Engvall et al., 2022; Rivera et al., 2018).

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.513
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.498
Teacher spread0.455 · 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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