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Record W2038598509 · doi:10.1002/pbc.21351

Tumors of the central nervous system in the first year of life

2007· review· en· W2038598509 on OpenAlexaff
Valérie Larouche, Annie Huang, Ute Bartels, Éric Bouffet

Bibliographic record

VenuePediatric Blood & Cancer · 2007
Typereview
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineEpendymomaMedulloblastomaAstrocytomaChoroid plexusRadiation therapyCentral nervous systemGliomaBlood cancerHistologyPathologyCancerInternal medicineCancer research

Abstract

fetched live from OpenAlex

Among 1,289 infants identified from this literature review, the most common histological diagnoses are astrocytoma (30.5%), medulloblastoma (12.2%), ependymoma (11.1%), and choroid plexus tumors (11%). Most tumors are supratentorial (65%). The most important prognostic factors are histology (malignant vs. benign) and extent of resection. Significant differences are noted for some tumor types by comparison with older children, for example in the aggressive behavior of low grade gliomas and the chemosensitivity of some high grade gliomas. While new techniques of radiation have been introduced in the management of infants, there is still reluctance to consider radiotherapy in this age group.

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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.786
Threshold uncertainty score0.527

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.032
GPT teacher head0.301
Teacher spread0.269 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations64
Published2007
Admission routes1
Has abstractyes

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