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Record W1985364674 · doi:10.1586/era.12.35

Antiangiogenic therapies in glioblastoma multiforme

2012· review· en· W1985364674 on OpenAlex
Mairéad G. McNamara, Warren Mason

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 · 2012
Typereview
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineGlioblastomaAngiogenesisAntiangiogenic therapyRadiation therapyOncologyGliomaChemotherapyTemozolomideCancer researchDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Glioblastoma multiforme (GBM) is the most common and lethal of adult gliomas. The prognosis for the great majority of patients with GBM is poor as almost all tumors recur following optimal surgical resection, radiation and standard chemotherapy, resulting in rapid disease-related death. The standard of care for recurrent GBM has not been clearly established. GBMs are highly vascularized brain tumors and growth has been shown to be angiogenesis dependent, thus stimulating interest in developing antiangiogenic therapeutic strategies. Antiangiogenic agents are the most promising novel agents in development for GBM but to date have not substantially changed overall survival. Future antiangiogenic strategies designed to overcome limitations of current antiangiogenic agents will likely involve the use of agent combinations that target pathways mediating resistance to antiangiogenic agents and tumor invasion.

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)0.000
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 score0.951
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.002
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)0.0010.000

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 head0.058
GPT teacher head0.398
Teacher spread0.340 · 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