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Record W4410075748 · doi:10.1002/pbc.31764

Twenty Years of the Paediatric Radiation Oncology Society

2025· article· en· W4410075748 on OpenAlexaff
Mark N. Gaze, Guillaume Beldjoudi, C. Carrié, Carolyn Freeman, Daniel J. Indelicato, Rolf‐Dieter Kortmann, Ingrid Kristensen, Anne Laprie, Yasmin Lassen, Anita Mahajan, Karen J. Marcus, Pauline Njoki Njiraini, Jeannette Parkes, Arnold C. Paulino, Bilal Mazhar Qureshi, Klaus Seiersen, Beate Timmermann, Natia Esiashvili

Bibliographic record

VenuePediatric Blood & Cancer · 2025
Typearticle
Languageen
FieldMedicine
TopicAdvances in Oncology and Radiotherapy
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineRadiation oncologyPediatric oncologyGlobeTreatment modalityProfessional associationFamily medicineOncologyChildhood cancerRadiation therapyPediatricsInternal medicineCancerPublic relations

Abstract

fetched live from OpenAlex

In 2005, the Paediatric Radiation Oncology Society (PROS), a multi-professional association to promote radiotherapy for children and young people, was created. Its mission has been to educate those involved in this field, and to improve the standards of radiation oncology care for children, adolescents, and young adults across the globe, not least in less privileged settings where the majority of the world's children, and most with cancer, live. Through regular congresses, and joint meetings with the International Society of Paediatric Oncology (SIOP), PROS has facilitated a focus on this treatment modality, and advocated on behalf of those who might benefit from it.

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)0.007
metaresearch head score (Gemma)0.011
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 score0.046
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0460.020

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 head0.007
GPT teacher head0.352
Teacher spread0.345 · 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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