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Record W3164508064 · doi:10.1038/s41591-021-01362-1

Author Correction: Locoregional delivery of CAR T cells to the cerebrospinal fluid for treatment of metastatic medulloblastoma and ependymoma

2021· erratum· en· W3164508064 on OpenAlexaff
Laura Donovan, Alberto Delaidelli, Sujith K. Joseph, Kevin Bielamowicz, Kristen Fousek, Borja Holgado, Alex Manno, Dilakshan Srikanthan, Ahmed Z. Gad, Randy Van Ommeren, David Przelicki, Cory M. Richman, Vijay Ramaswamy, Craig Daniels, Jonelle G. Pallota, Tajana Douglas, Alyssa C. M. Joynt, Joonas Haapasalo, Carolina Nör, Maria Vladoiu, Claudia M. Kuzan-Fischer, Livia Garzia, Stephen C. Mack, Srinidhi Varadharajan, Matthew L. Baker, Liam D. Hendrikse, Michelle Ly, Kaitlin Kharas, Polina Balin, Xiaochong Wu, Lei Qin, Ning Huang, Ana Guerreiro Stücklin, A. Sorana Morrissy, Florence M.G. Cavalli, Betty Luu, Raúl A. Suárez, Pasqualino De Antonellis, Antony Michealraj, Avesta Rastan, Meenakshi Hegde, Martin Komosa, Olga Sirbu, Sachin Kumar, Zied Abdullaev, Cláudia C. Faria, Stephen Yip, Juliette Hukin, Uri Tabori, Cynthia Hawkins, Ken Aldape, Mads Daugaard, John M. Maris, Poul H. Sorensen, Nabil Ahmed, Michael D. Taylor

Bibliographic record

VenueNature Medicine · 2021
Typeerratum
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsVancouver Coastal Health Research InstituteUniversity of CalgaryMcGill University Health CentreBC Children's HospitalUniversity of TorontoSickKids FoundationUniversity of British ColumbiaHospital for Sick Children
FundersNational Cancer Institute
KeywordsMedulloblastomaEpendymomaCerebrospinal fluidMedicinePathology

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 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)0.003
metaresearch head score (Gemma)0.040
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 score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.040
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.001
Science and technology studies0.0030.003
Scholarly communication0.0030.002
Open science0.0030.001
Research integrity0.0100.015
Insufficient payload (model declined to judge)0.0150.011

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 head0.029
GPT teacher head0.341
Teacher spread0.312 · 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

Citations3
Published2021
Admission routes1
Has abstractno

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