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Record W2955938549 · doi:10.1016/j.ejca.2019.05.013

Risk of subsequent primary leukaemias among 69,460 five-year survivors of childhood cancer diagnosed from 1940 to 2008 in Europe: A cohort study within PanCareSurFup

2019· article· en· W2955938549 on OpenAlexaff
Rodrigue S. Allodji, Mike Hawkins, Chloe J. Bright, Miranda M Fidler-Benaoudia, D. Winter, Daniela Alessi, Brice Fresneau, Neige Journy, Vera Morsellino, Edit Bárdi, Andrea Bautz, Julianne Byrne, Elizabeth Feijen, Jop C. Teepen, Giao Vu‐Bezin, Carolé Rubino, Stanislaw Garwicz, Desiree Grabow, Þorgerður Guðmundsdóttir, Joyeeta Guha, Eva-Maria Hau, Momcilo Jankovic, Peter Kaatsch, Melanie Kaiser, Helena M. Linge, Monica Muraca, Damien Llanas, Cristina Veres, Hilde Øfstaas, Ibrahima Diallo, Imène Mansouri, Cécile M. Ronckers, Roderick Skinner, Monica Terenziani, Finn Wesenberg, Thomas Wiebe, Carlotta Sacerdote, Zsuzsanna Jakab, Riccardo Haupt, Päivi M. Lähteenmäki, Lorna Zadravec Zaletel, Claudia E. Kuehni, Jeanette Falck Winther, Gisela Michel, Leontien C.M. Kremer, Lars Hjorth, Nadia Haddy, Florent de Vathaire, Raoul C. Reulen

Bibliographic record

VenueEuropean Journal of Cancer · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsAlberta Health Services
FundersInstitut National Du CancerBarncancerfondenAssociazione Italiana per la Ricerca sul CancroJavna Agencija za Raziskovalno Dejavnost RSLigue Contre le CancerSwiss Cancer Research FoundationEuropean CommissionBrain Tumour CharitySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungCHIST-ERAAgence Nationale de la RecherchePfizerCHILDREN with CANCER UKKræftens BekæmpelseNational Cancer InstituteSeventh Framework ProgrammeKWF KankerbestrijdingPfizer FoundationCompagnia di San Paolo
KeywordsMedicineCohortCancerPopulationPediatricsCohort studyIncidence (geometry)Childhood cancerConfidence intervalMalignancyAbsolute risk reductionInternal medicineEnvironmental health

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.265
Teacher spread0.255 · 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.

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

Citations27
Published2019
Admission routes1
Has abstractno

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