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Record W4412431037 · doi:10.1016/j.ejca.2025.115629

Paediatric strategy forum for medicinal product development of cyclin-dependent kinase inhibitors in children and adolescents ACCELERATE in collaboration with the European Medicines Agency With participation of the Food and Drug Administration

2025· review· en· W4412431037 on OpenAlexfundno aff
Andrew D.J. Pearson, Susan Chi, Theodore W Laetscht, Lynley V. Marshall, Elizabeth A. Raetz, Rani E. George, Louis Chesler, Dominik Karres, Nicole Scobie, Holly Knoderer, Brenda J. Weigel, David T. Teachey, Gabe S. Sonke, Nita L. Seibel, Alberto S. Pappo, Karsten Nysom, Jodi A. Muscal, Jan J. Molenaar, Joe McDonough, Margaret E. Macy, Donna Ludwinski, Charles Y. Lin, Franca Ligas, Giovanni Lesa, Leona Knox, Mark Kirschbaum, Mark W. Kieran, Olga Kholmanskikh, A F Jacobson, Delphine Heenen, Douglas S. Hawkins, Julia Glade Bender, Elizabeth Fox, Pierre Démolis, Teresa de Rojas, Michael C. Cox, P. Blanc, Gilles Vassal

Bibliographic record

VenueEuropean Journal of Cancer · 2025
Typereview
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsnot available
FundersAgenzia Italiana del Farmaco, Ministero della SaluteLoxo OncologyNational Institutes of HealthCambridge University HospitalsSolving Kids' CancerCollege ter Beoordeling van GeneesmiddelenG1 TherapeuticsInstitut Gustave-RoussyAmsterdam University Medical CentersDeutsches KrebsforschungszentrumB-IT FoundationUniwersytet Jagielloński Collegium MedicumBundesinstitut für Arzneimittel und MedizinprodukteNational Cancer Center JapanKarolinska InstitutetUniversity of MinnesotaMemorial Sloan-Kettering Cancer CenterCentre Léon BérardEli Lilly and CompanyAstraZenecaUniversity of CambridgeChildren's Hospital of PhiladelphiaRoyal Marsden NHS Foundation TrustChildren's Hospital ColoradoHospital for Sick ChildrenPfizer
KeywordsFood and drug administrationAgency (philosophy)Product (mathematics)DrugMedicineBusinessRegulatory agencyPharmacologyPolitical science

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 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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.983
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

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

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 head0.019
GPT teacher head0.316
Teacher spread0.298 · 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 designOther design
Domainnot available
GenreReview

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 abstractno

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