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Record W2005805484 · doi:10.1586/14737140.2015.1028374

Extra-CNS metastasis from glioblastoma: a rare clinical entity

2015· review· en· W2005805484 on OpenAlex
Musaddiq Awan, Stanley K. Liu, Arjun Sahgal, Sunit Das, Samuel T. Chao, Eric L. Chang, Jonathan Knisely, Kristin J. Redmond, Jason W. Sohn, Mitchell Machtay, Andrew E. Sloan, David B. Mansur, Lisa R. Rogers, Simon S. Lo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExpert Review of Anticancer Therapy · 2015
Typereview
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsHospital for Sick ChildrenSt. Michael's HospitalSickKids FoundationSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineGlioblastomaContext (archaeology)MetastasisClinical significanceTranslational researchBrain metastasisTransplantationPathologyCancerCancer researchInternal medicineBiology

Abstract

fetched live from OpenAlex

Extra-CNS metastasis from glioblastoma (ECMGBM) is an emerging but little known clinical entity. We review pre-clinical and translational publications assessing the ability of GBM to spread locally and outside the CNS. Reported cases demonstrating ECMGBM are reviewed providing a summary of presentations for the entity. Special attention is placed on transmission of GBM through organ transplantation. Finally, predictions are made as to the future significance of ECMGBM, especially in the context of better outcomes in CNS GBM.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.931
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.003
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.146
GPT teacher head0.481
Teacher spread0.335 · 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