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Record W4408518362 · doi:10.1016/j.ygyno.2025.03.007

Incorporation of triapine (T) to cisplatin chemoradiation (CRT) for locally advanced cervical and vaginal cancer: Results from NRG-GY006, a phase III randomized trial

2025· article· en· W4408518362 on OpenAlexaff
Charles A. Leath, Wei Deng, Loren K. Mell, Debra L. Richardson, Joan L. Walker, Laura L. Holman, Jayanthi Lea, Sudha R. Amarnath, Luis Javier Santos-Reyes, Rebecca C. Arend, Jyoti Mayadev, N. Jegadeesh, Paul DiSilvestro, Hye Sook Chon, Sharad Ghamande, Lei Gao, Kevin Albuquerque, Junzo Chino, Eric D. Donnelly, Jonathan Feddock, Jessica Lowenstein, Allison Quick, Helen Mackay, Carol Aghajanian, Bradley J. Monk

Bibliographic record

VenueGynecologic Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsSunnybrook Health Science Centre
FundersWinship Cancer InstituteMasonic Cancer Center, University of MinnesotaMedical Center, University of PittsburghMarkey Cancer Center, University of KentuckyMoores Cancer Center, UC San Diego HealthUniversity of AlabamaNational Cancer InstituteCancer Center, University of ColoradoEmory UniversityUniversity of KentuckyUniversity of RochesterChao Family Comprehensive Cancer CenterCase Comprehensive Cancer Center, Case Western Reserve UniversityAbramson Cancer CenterIndiana UniversityUniversity of Arkansas for Medical SciencesUniversity of MinnesotaUniversity of PennsylvaniaUniversity of Wisconsin Carbone Cancer CenterHouston Methodist HospitalMayo ClinicLoyola Medicine
KeywordsMedicineCervical cancerRandomized controlled trialCisplatinOncologyInternal medicineUrologyCancerChemotherapy

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
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 head0.028
GPT teacher head0.376
Teacher spread0.348 · 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 designRandomized trial
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

Citations9
Published2025
Admission routes1
Has abstractno

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