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Spectrum and prevalence of genetic predisposition in medulloblastoma: a retrospective genetic study and prospective validation in a clinical trial cohort
Sebastian M. Waszak, Paul A. Northcott, Ivo Buchhalter, Giles Robinson, Christian Sutter, Susanne N. Groebner, Kerstin Grund, Laurence Brugières, David Jones, Kristian W. Pajtler, A. Sorana Morrissy, Marcel Kool, Dominik Sturm, Lukas Chávez, Aurélie Ernst, Sebastian Brabetz, M. Hain, Thomas Zichner, Maia Segura‐Wang, Joachim Weischenfeldt, Tobias Rausch, Balca R. Mardin, Xin Zhou, Cristina Baciu, Christian Lawerenz, Jennifer A. Chan, Pascale Varlet, Léa Guerrini‐Rousseau, Daniel W. Fults, Wiesława Grajkowska, Péter Hauser, Nada Jabado, Young‐Shin Ra, Karel Zitterbart, Suyash Shringarpure, Francisco M. De La Vega, Carlos D. Bustamante, Ho‐Keung Ng, Arie Perry, Tobey J. MacDonald, Pablo Hernáiz Driever, Anne Bendel, Daniel C. Bowers, Geoffrey McCowage, Murali Chintagumpala, Richard J. Cohn, Tim Hassall, Gudrun Fleischhack, Tone Eggen, Finn Wesenberg, Maria Feychting, Birgitta Lannering, Joachim Schüz, Christoffer Johansen, Tina Veje Andersen, Martin Röösli, Claudia E. Kuehni, Michael A. Grotzer, Kristina Kjærheim, Camelia Maria Monoranu, Tenley C. Archer, Elizabeth S. Duke, Scott L. Pomeroy, Shelagh Redmond, Stephan Frank, David Sumerauer, Wolfram Scheurlen, Marina Ryzhova, Till Milde, Christian P. Kratz, David Samuel, Jinghui Zhang, David A. Solomon, Marco A. Marra, Roland Eils, Claus R. Bartram, Katja von Hoff, Stefan Rutkowski, Vijay Ramaswamy, Richard J. Gilbertson, Andrey Korshunov, Michael D. Taylor, Peter Lichter, David Malkin, Amar Gajjar, Jan O. Korbel, Stefan M. Pfister
Bibliographic record
VenueThe Lancet Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsCanada's Michael Smith Genome Sciences CentreBC Cancer AgencyUniversity of CalgaryMcGill UniversityUniversity of TorontoToronto General HospitalUniversity Health NetworkHospital for Sick Children
FundersNational Heart, Lung, and Blood InstituteStrategic Research CouncilCanadian Institutes of Health ResearchBrain Tumour ResearchNational Cancer InstituteFondation de l'Hôpital de Montréal pour enfantsBC Cancer FoundationLékařská fakulta, Masarykova univerzitaEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentMasarykova UniverzitaNationales Centrum für Tumorerkrankungen HeidelbergGöteborgs UniversitetUniversitetet i OsloKarolinska InstitutetTerry Fox Research InstituteCancerfondenUniversität ZürichBundesministerium für Bildung und ForschungNorges ForskningsrådSemmelweis EgyetemBundesamt für GesundheitPediatric Brain Tumor FoundationDeutsche KrebshilfeSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungBroad InstituteForskningsrådet om Hälsa, Arbetsliv och VälfärdUniversidad Nacional Autónoma de MéxicoPediatric Oncology Group of OntarioFH FoundationInstituto Mexicano del Seguro SocialColorado State UniversityBarncancerfondenOntario Institute for Cancer ResearchUniversity of MiamiEuropean Molecular Biology OrganizationUniversity of BernMinisterstvo Zdravotnictví Ceské RepublikyRockefeller UniversityMassachusetts Institute of TechnologyUniversität BaselNational Institutes of HealthChildren's Hospital FoundationJohn D. and Catherine T. MacArthur FoundationGenome CanadaGarron Family Cancer CentreEuropean CommissionSontag FoundationHospital for Sick ChildrenGenome British ColumbiaStrategiske ForskningsrådCancer Research UKWorld Health OrganizationDeutsche KinderkrebsstiftungUniversity of ChicagoUniversity of CaliforniaVetenskapsrådetEuropean Research CouncilV Foundation for Cancer ResearchGovernment of OntarioAlexander and Margaret Stewart TrustDeutsches Krebsforschungszentrum
KeywordsMedulloblastomaGenetic predispositionRetrospective cohort studyMedicineProspective cohort studyCohortClinical trialOncologyPediatricsInternal medicinePathology
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.030
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 head0.036
GPT teacher head0.377
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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 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
Citations394
Published2018
Admission routes3
Has abstractyes