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Clinical phenotypes and prognostic features of embryonal tumours with multi-layered rosettes: a Rare Brain Tumor Registry study
Sara Khan, Palma Solano‐Páez, Tannu Suwal, Mei Lu, Salma Al‐Karmi, Ben Ho, Iqra Mumal, Mary Shago, Lindsey M. Hoffman, Andrew Dodgshun, Sumihito Nobusawa, Uri Tabori, Ute Bartels, David S. Ziegler, Jordan R. Hansford, Vijay Ramaswamy, Cynthia Hawkins, Christelle Dufour, Nicolás André, Éric Bouffet, Annie Huang, Almeida Gonzalez CV, Derek Stephens, Sarah Leary, Paula Marrano, Adriana Fonseca, Nirav Thacker, Bryan Li, Holly Lindsay, Álvaro Lassaletta, Anne Bendel, Christopher L. Moertel, Andrés Morales La Madrid, Vicente Santa‐María, Cinzia Lavarino, Eloy Rivas, Sebastian Perreault, Benjamin Ellezam, Alexander G. Weil, Nada Jabado, Angélica Oviedo, Michal Yalon-Oren, Laura Amariglio, Helen Toledano, Rina Dvir, James Loukides, Timothy Van Meter, Hideo Nakamura, Tai‐Tong Wong, Kuo-Sheng Wu, Chien-Jui Cheng, Young‐Shin Ra, Milena La Spina, Luca Massimi, Anna Maria Buccoliero, Alyssa Reddy, Rong Li, G. Yancey Gillespie, Dariusz Adamek, Jason Fangusaro, David Scharnhorst, Joseph C. Torkildson, Donna L. Johnston, Jean Michaud, Lucie Lafay‐Cousin, Jennifer A. Chan, Frank K.H. van Landeghem, Beverly Wilson, Sandra Camelo‐Piragua, Nabil Kabbara, Mahjouba Boutarbouch, Derek Hanson, Chad Jacobsen, Karen Wright, Rajeev Vibhakar, Jean M. Mulcahy Levy, Yin Wang, Daniel Catchpoole, Michael A. Grotzer, Violet Shen, Ashley Plant, Christopher Dunham, Maria João Gil‐da‐Costa, Ramya Ramanujachar, Eric H. Raabe, Jeffery Rubens, Joanna J. Phillips, Nalin Gupta, Hacı Ahmet Demir, Christine Dahl, Mette Jørgensen, Eugene Hwang, Roger J. Packer, Amy Smith, Enrica E. K. Tan, Sharon Y. Y. Low, Jian‐Qiang Lu, Ho‐Keung Ng, Jesse Kresak, Sridharan Gururangan, Scott L. Pomeroy, Nongnuch Sirachainan, Suradej Hongeng, Vanan Magimairajan, Roona Sinha, Naureen Mushtaq, Reuben Antony, Mariko Sato, David Samuel, Michal Zápotocký, Samina Afzal, Andrew W. Walter, Tarık Tihan, Derek S. Tsang, Amar Gajjar, Paul Wood, Jason E. Cain, Peter Downie, Nicolas Gottardo, Helen M. Branson, Suzanne Laughlin, Birgit Ertl‐Wagner, Abhaya V. Kulkarni, Michael D. Taylor, James M. Drake, George M. Ibrahim, Peter B. Dirks, James T. Rutka, Gino R. Somers, Lili‐Naz Hazrati, Franck Bourdeaut, Laëtitia Padovani, Richard G. Grundy, Claire Mazewski, Maryam Fouladi
Bibliographic record
VenueThe Lancet Child & Adolescent Health · 2021
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsUniversity of TorontoSickKids FoundationHospital for Sick Children
FundersCanadian Institutes of Health ResearchConsejería de Salud y Familias, Junta de AndalucíaVetenskapsrådetAustralian Lions Childhood Cancer Research Foundation
KeywordsProportional hazards modelHazard ratioMedicineUnivariate analysisOncologyInternal medicineDiseaseSurvival analysisPathologyLog-rank testMultivariate analysisConfidence interval
Abstract
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 imitationNot 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.552
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.040
GPT teacher head0.346
Teacher spread0.306 · 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 teacher head, 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
Citations41
Published2021
Admission routes2
Has abstractno